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ekbal-etal-2008-named
https://aclanthology.org/I08-2077
Named Entity Recognition in Bengali: A Conditional Random Field Approach
This paper reports about the development of a Named Entity Recognition (NER) system for Bengali using the statistical Conditional Random Fields (CRFs). The system makes use of the different contextual information of the words along with the variety of features that are helpful in predicting the various named entity (NE...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
goodman-1997-global
https://aclanthology.org/W97-0302
Global Thresholding and Multiple-Pass Parsing
We present a variation on classic beam thresholding techniques that is up to an order of magnitude faster than the traditional method, at the same performance level. We also present a new thresholding technique, global thresholding, which, combined with the new beam thresholding, gives an additional factor of two impro...
false
[]
[]
null
null
null
null
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bird-2020-sparse
https://aclanthology.org/2020.cl-4.1
Sparse Transcription
The transcription bottleneck is often cited as a major obstacle for efforts to document the world's endangered languages and supply them with language technologies. One solution is to extend methods from automatic speech recognition and machine translation, and recruit linguists to provide narrow phonetic transcription...
false
[]
[]
null
null
null
I am indebted to the Bininj people of the Kuwarddewardde "Stone Country" in Northern Australia for the opportunity to live and work in their community, where I gained many insights in the course of learning to transcribe Kunwinjku. Thanks to Steve Abney, Laurent Besacier, Mark Liberman, Maïa Ponsonnet, to my colleagues...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schaler-2004-certified
https://aclanthology.org/2004.tc-1.15
The Certified Localisation Professional (CLP)
The Institute of Localisation Professionals (TILP) was established in 2002 as a non-profit organisation and in 2003 merged with the US-based Professional Association for Localization (PAL). TILP's objective is to develop professional practices in localisation globally. TILP is owned by its individual members. It coordi...
false
[]
[]
null
null
null
The support received by the European Union's ADAPT Programme for the development of the initial CLP project (A-1997-Irl-551) is acknowledged. This project was coordinated by the LRC. The project partners were: FÁS (Irish National Training Agency), CATT (Siemens Nixdorf Training Centre) and TELSI Ireland, supported by a...
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lalor-etal-2019-learning
https://aclanthology.org/D19-1434
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
Incorporating Item Response Theory (IRT) into NLP tasks can provide valuable information about model performance and behavior. Traditionally, IRT models are learned using human response pattern (RP) data, presenting a significant bottleneck for large data sets like those required for training deep neural networks (DNNs...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their comments and suggestions. This work was supported in part by the HSR&D award IIR 1I01HX001457 from the United States Department of Veterans Affairs (VA). We also acknowledge the support of LM012817 from the National Institutes of Health. This work was also supported in part by...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dunning-1993-accurate
https://aclanthology.org/J93-1003
Accurate Methods for the Statistics of Surprise and Coincidence
Much work has been done on the statistical analysis of text. In some cases reported in the literature, inappropriate statistical methods have been used, and statistical significance of results have not been addressed. In particular, asymptotic normality assumptions have often been used unjustifiably, leading to flawed ...
false
[]
[]
null
null
null
null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-jurafsky-2015-multi
https://aclanthology.org/D15-1200
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Learning a distinct representation for each sense of an ambiguous word could lead to more powerful and fine-grained models of vector-space representations. Yet while 'multi-sense' methods have been proposed and tested on artificial wordsimilarity tasks, we don't know if they improve real natural language understanding ...
false
[]
[]
null
null
null
We would like to thank Sam Bowman, Ignacio Cases, Kevin Gu, Gabor Angeli, Sida Wang, Percy Liang and other members of the Stanford NLP group, as well as anonymous reviewers for their helpful advice on various aspects of this work. We gratefully acknowledge the support of the NSF via award IIS-1514268, the Defense Advan...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
walinska-potoniec-2020-urszula
https://aclanthology.org/2020.semeval-1.161
Urszula Wali\'nska at SemEval-2020 Task 8: Fusion of Text and Image Features Using LSTM and VGG16 for Memotion Analysis
In the paper, we describe the Urszula Walińska's entry to the SemEval-2020 Task 8: Memotion Analysis. The sentiment analysis of memes task, is motivated by a pervasive problem of offensive content spread in social media up to the present time. In fact, memes are an important medium of expressing opinion and emotions, t...
false
[]
[]
null
null
null
Urszula Walińska executed the research as a part of master thesis project under the supervision of Jedrzej Potoniec. This work was partially funded by project 0311/SBAD/0678.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rudinger-etal-2018-neural
https://aclanthology.org/D18-1114
Neural-Davidsonian Semantic Proto-role Labeling
We present a model for semantic proto-role labeling (SPRL) using an adapted bidirectional LSTM encoding strategy that we call Neural-Davidsonian: predicate-argument structure is represented as pairs of hidden states corresponding to predicate and argument head tokens of the input sequence. We demonstrate: (1) state-of-...
false
[]
[]
null
null
null
This research was supported by the JHU HLT-COE, DARPA AIDA, and NSF GRFP (Grant No. DGE-1232825). The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes. The views and conclusions contained in this publication are those of the authors and should not be interpreted as representi...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sheikh-etal-2016-diachronic
https://aclanthology.org/L16-1609
How Diachronic Text Corpora Affect Context based Retrieval of OOV Proper Names for Audio News
Out-Of-Vocabulary (OOV) words missed by Large Vocabulary Continuous Speech Recognition (LVCSR) systems can be recovered with the help of topic and semantic context of the OOV words captured from a diachronic text corpus. In this paper we investigate how the choice of documents for the diachronic text corpora affects th...
false
[]
[]
null
null
null
This work is funded by the ContNomina project supported by the French National Research Agency (ANR) under the contract ANR-12-BS02-0009.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tripodi-etal-2019-tracing
https://aclanthology.org/W19-4715
Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914
We investigate some aspects of the history of antisemitism in France, one of the cradles of modern antisemitism, using diachronic word embeddings. We constructed a large corpus of French books and periodicals issues that contain a keyword related to Jews and performed a diachronic word embedding over the 1789-1914 peri...
false
[]
[]
null
null
null
The authors of this work have received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 732942. The experiments have been run on the SCSCF cluster of Ca' Foscari University.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
popat-etal-2013-haves
https://aclanthology.org/P13-1041
The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis
Expensive feature engineering based on WordNet senses has been shown to be useful for document level sentiment classification. A plausible reason for such a performance improvement is the reduction in data sparsity. However, such a reduction could be achieved with a lesser effort through the means of syntagma based wor...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aji-etal-2020-neural
https://aclanthology.org/2020.acl-main.688
In Neural Machine Translation, What Does Transfer Learning Transfer?
Transfer learning improves quality for lowresource machine translation, but it is unclear what exactly it transfers. We perform several ablation studies that limit information transfer, then measure the quality impact across three language pairs to gain a black-box understanding of transfer learning. Word embeddings pl...
false
[]
[]
null
null
null
This work was performed using resources provided by the Cambridge Service for Data Driven Discovery (CSD3) operated by the University of Cambridge Research Computing Service (http: //www.csd3.cam.ac.uk/), provided by Dell EMC and Intel using Tier-2 funding from the Engineering and Physical Sciences Research Council (ca...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
abed-reiter-2020-arabic
https://aclanthology.org/2020.inlg-1.2
Arabic NLG Language Functions
The Arabic language has very limited supports from NLG researchers. In this paper, we explain the challenges of the core grammar, provide a lexical resource, and implement the first language functions for the Arabic language. We did a human evaluation to evaluate our functions in generating sentences from the NADA Corp...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
musha-1986-new
https://aclanthology.org/C86-1111
A New Predictive Analyzer of English
Aspects of syntactic predictions made during the recognition of English sentences are investigated. We reinforce Kuno's original predictive analyzer[i] by introducing five types of predictions. For each type of prediction, we discuss and present its necessity, its description method, and recognition mechanism. We make ...
false
[]
[]
null
null
null
I would especially like to thank my adviser, Prof. A. Yonezawa of Tokyo Institute of Technology, for his valuable comments on this researdl and encouragement. I also thank the members of Yonezawa Lab. for their comments on my research. I also give my special thanks to the managers of Resource Sharing Company who allowe...
1986
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
holderness-etal-2018-analysis
https://aclanthology.org/W18-5615
Analysis of Risk Factor Domains in Psychosis Patient Health Records
Readmission after discharge from a hospital is disruptive and costly, regardless of the reason. However, it can be particularly problematic for psychiatric patients, so predicting which patients may be readmitted is critically important but also very difficult. Clinical narratives in psychiatric electronic health recor...
true
[]
[]
Good Health and Well-Being
null
null
This work was supported by a grant from the National Institute of Mental Health (grant no. 5R01MH109687 to Mei-Hua Hall). We would also like to thank the LOUHI 2018 Workshop reviewers for their constructive and helpful comments.
2018
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mieskes-2017-quantitative
https://aclanthology.org/W17-1603
A Quantitative Study of Data in the NLP community
We present results on a quantitative analysis of publications in the NLP domain on collecting, publishing and availability of research data. We find that a wide range of publications rely on data crawled from the web, but few give details on how potentially sensitive data was treated. Additionally, we find that while l...
false
[]
[]
null
null
null
This work was partially supported by the DFGfunded research training group "Adaptive Preparation of Information from Heterogeneous Sources" (AIPHES, GRK 1994/1). We would like to thank the reviewers for their valuable comments that helped to considerably improve the paper.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
oepen-etal-2016-opt
https://aclanthology.org/K16-2002
OPT: Oslo--Potsdam--Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing
The OPT submission to the Shared Task of the 2016 Conference on Natural Language Learning (CoNLL) implements a 'classic' pipeline architecture, combining binary classification of (candidate) explicit connectives, heuristic rules for non-explicit discourse relations, ranking and 'editing' of syntactic constituents for a...
false
[]
[]
null
null
null
We are indebted to Te Rutherford of Brandeis University for his effort in preparing data and infrastructure for the Task, as well as for shepherding our team and everyone else through its various stages. We are grateful to two anonymous reviewers for comments on an earlier version of this manuscript.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sikos-pado-2018-using
https://aclanthology.org/W18-3813
Using Embeddings to Compare FrameNet Frames Across Languages
Much of the recent interest in Frame Semantics is fueled by the substantial extent of its applicability across languages. At the same time, lexicographic studies have found that the applicability of individual frames can be diminished by cross-lingual divergences regarding polysemy, syntactic valency, and lexicalizatio...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lee-etal-2005-zero
https://aclanthology.org/I05-1052
Why Is Zero Marking Important in Korean?
This paper argues for the necessity of zero pronoun annotations in Korean treebanks and provides an annotation scheme that can be used to develop a gold standard for testing different anaphor resolution algorithms. Relevant issues of pronoun annotation will be discussed by comparing the Penn Korean Treebank with zero p...
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
johnson-watanabe-1990-relational
https://aclanthology.org/W90-0123
Relational-Grammar-Based Generation in the JETS Japanese-English Machine Translation System
This paper describes the design and functioning of the English generation phase in JETS, a limited transfer, Japanese-English machine translation system that is loosely based on the linguistic framework of relational grammar. To facilitate the development of relational-grammar-based generators, we have built an NL-and-...
false
[]
[]
null
null
null
null
1990
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wise-2014-keynote
https://aclanthology.org/W14-4101
Keynote: Data Archeology: A theory informed approach to analyzing data traces of social interaction in large scale learning environments
Data archeology is a theoreticallyinformed approach to make sense of the digital artifacts left behind by a prior learning "civilization." Critical elements include use of theoretical learning models to construct analytic metrics, attention to temporality as a means to reconstruct individual and collective trajectories...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
brants-xu-2009-distributed
https://aclanthology.org/N09-4002
Distributed Language Models
Language models are used in a wide variety of natural language applications, including machine translation, speech recognition, spelling correction, optical character recognition, etc. Recent studies have shown that more data is better data, and bigger language models are better language models: the authors found nearl...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
larson-etal-2019-outlier
https://aclanthology.org/N19-1051
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems
In a corpus of data, outliers are either errors: mistakes in the data that are counterproductive, or are unique: informative samples that improve model robustness. Identifying outliers can lead to better datasets by (1) removing noise in datasets and (2) guiding collection of additional data to fill gaps. However, the ...
false
[]
[]
null
null
null
The authors thank Yiping Kang, Yunqi Zhang, Joseph Peper, and the anonymous reviewers for their helpful comments and feedback.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhai-etal-2021-script
https://aclanthology.org/2021.starsem-1.18
Script Parsing with Hierarchical Sequence Modelling
Scripts (Schank and Abelson, 1977) capture commonsense knowledge about everyday activities and their participants. Script knowledge has been shown to be useful in a number of NLP tasks, such as referent prediction, discourse classification, and story generation. A crucial step for the exploitation of script knowledge i...
false
[]
[]
null
null
null
We thank Simon Ostermann for providing the data from his experiments and his help all along the way of re-implementing his model. We thank Vera Demberg for the useful comments and suggestions. We also thank the anonymous reviewers for the valuable comments. This research was funded by the German Research Foundation (DF...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ruiter-etal-2019-self
https://aclanthology.org/P19-1178
Self-Supervised Neural Machine Translation
We present a simple new method where an emergent NMT system is used for simultaneously selecting training data and learning internal NMT representations. This is done in a self-supervised way without parallel data, in such a way that both tasks enhance each other during training. The method is language independent, int...
false
[]
[]
null
null
null
The project on which this paper is based was partially funded by the German Federal Ministry of Education and Research under the funding code 01IW17001 (Deeplee) and by the Leibniz Gemeinschaft via the SAW-2016-ZPID-2 project (CLuBS). Responsibility for the content of this publication is with the authors.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nie-etal-2020-adversarial
https://aclanthology.org/2020.acl-main.441
Adversarial NLI: A New Benchmark for Natural Language Understanding
We introduce a new large-scale NLI benchmark dataset, collected via an iterative, adversarial human-and-model-in-the-loop procedure. We show that training models on this new dataset leads to state-of-the-art performance on a variety of popular NLI benchmarks, while posing a more difficult challenge with its new test se...
false
[]
[]
null
null
null
YN interned at Facebook. YN and MB were sponsored by DARPA MCS Grant #N66001-19-2-4031, ONR Grant #N00014-18-1-2871, and DARPA YFA17-D17AP00022. Special thanks to Sam Bowman for comments on an earlier draft.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nn-1997-neocortech
https://aclanthology.org/1997.mtsummit-exhibits.11
NeocorTech LLC
NEOCORTECH is the premier provider of Japanese communication solutions for computer users outside of Japan, using Microsoft Windows 32-bit operating systems. In fact, only NeocorTech's machine translation (MT) products have been awarded the coveted Microsoft Windows 95 compatibility logo. Long heralded as the final sol...
false
[]
[]
null
null
null
null
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
grouin-2008-certification
http://www.lrec-conf.org/proceedings/lrec2008/pdf/280_paper.pdf
Certification and Cleaning up of a Text Corpus: Towards an Evaluation of the ``Grammatical'' Quality of a Corpus
We present in this article the methods we used for obtaining measures to ensure the quality and well-formedness of a text corpus. These measures allow us to determine the compatibility of a corpus with the treatments we want to apply on it. We called this method "certification of corpus". These measures are based upon ...
false
[]
[]
null
null
null
This work has been done within the framework of the SEVEN 8 project, held by the ANR (project number: ANR-05-RNTL-02204 (S0604149W)).
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
grangier-auli-2018-quickedit
https://aclanthology.org/N18-1025
QuickEdit: Editing Text \& Translations by Crossing Words Out
We propose a framework for computerassisted text editing. It applies to translation post-editing and to paraphrasing. Our proposal relies on very simple interactions: a human editor modifies a sentence by marking tokens they would like the system to change. Our model then generates a new sentence which reformulates the...
false
[]
[]
null
null
null
We thank Marc'Aurelio Ranzato, Sumit Chopra, Roman Novak for helpful discussions. We thank Sergey Edunov, Sam Gross, Myle Ott for writing the fairseq-py toolkit used in our experiments. We thank Jonathan Mallinson, Rico Sennrich, Mirella Lapata, for sharing ParaNet data.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yakhnenko-rosario-2008-mining
https://aclanthology.org/I08-1036
Mining the Web for Relations between Digital Devices using a Probabilistic Maximum Margin Model
Searching and reading the Web is one of the principal methods used to seek out information to resolve problems about technology in general and digital devices in particular. This paper addresses the problem of text mining in the digital devices domain. In particular, we address the task of detecting semantic relations ...
false
[]
[]
null
null
null
The authors would like to thank the reviewers for their feedback and comments; William Schilit for invaluable insight and help and for first suggesting using the MTurk to gather labeled data; David McDonald for help with developing survey instructions; and numerous MT workers for providing the labels.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
von-etter-etal-2010-assessment
https://aclanthology.org/W10-1105
Assessment of Utility in Web Mining for the Domain of Public Health
This paper presents ongoing work on application of Information Extraction (IE) technology to domain of Public Health, in a real-world scenario. A central issue in IE is the quality of the results. We present two novel points. First, we distinguish the criteria for quality: the objective criteria that measure correctnes...
true
[]
[]
Good Health and Well-Being
null
null
This research was supported in part by: the Technology Development Agency of Finland (TEKES), through the ContentFactory Project, and by the Academy of Finland's National Centre of Excellence "Algorithmic Data Analysis (ALGODAN)."
2010
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vydiswaran-etal-2019-towards
https://aclanthology.org/W19-3217
Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1
We participated in Task 1 of the Social Media Mining for Health Applications (SMM4H) 2019 Shared Tasks on detecting mentions of adverse drug events (ADEs) in tweets. Our approach relied on a text processing pipeline for tweets, and training traditional machine learning and deep learning models. Our submitted runs perfo...
true
[]
[]
Good Health and Well-Being
null
null
null
2019
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
koehn-2016-computer
https://aclanthology.org/P16-5003
Computer Aided Translation
null
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
matusov-etal-2004-symmetric
https://aclanthology.org/C04-1032
Symmetric Word Alignments for Statistical Machine Translation
In this paper, we address the word alignment problem for statistical machine translation. We aim at creating a symmetric word alignment allowing for reliable one-to-many and many-to-one word relationships. We perform the iterative alignment training in the source-to-target and the target-to-source direction with the we...
false
[]
[]
null
null
null
This work has been partially funded by the EU project TransType 2, IST-2001-32091.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
brixey-etal-2018-chahta
https://aclanthology.org/L18-1532
Chahta Anumpa: A multimodal corpus of the Choctaw Language
This paper presents a general use corpus for the Native American indigenous language Choctaw. The corpus contains audio, video, and text resources, with many texts also translated in English. The Oklahoma Choctaw and the Mississippi Choctaw variants of the language are represented in the corpus. The data set provides d...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schubert-pelletier-1982-english
https://aclanthology.org/J82-1003
From English to Logic: Context-Free Computation of `Conventional' Logical Translation
We describe an approach to parsing and logical translation that was inspired by Gazdar's work on context-free grammar for English. Each grammar rule consists of a syntactic part that specifies an acceptable fragment of a parse tree, and a semantic part that specifies how the logical formulas corresponding to the consti...
false
[]
[]
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null
The authors are indebted to Ivan Sag for a series of very stimulating seminars held by him at the University of Alberta on his linguistic research, and valuable follow-up discussions.The helpful comments of the referees and of Lotfi Zadeh are also appreciated.The research was supported in part by NSERC Operating Grants...
1982
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kahn-etal-2004-parsing
https://aclanthology.org/N04-4032
Parsing Conversational Speech Using Enhanced Segmentation
The lack of sentence boundaries and presence of disfluencies pose difficulties for parsing conversational speech. This work investigates the effects of automatically detecting these phenomena on a probabilistic parser's performance. We demonstrate that a state-of-the-art segmenter, relative to a pause-based segmenter, ...
false
[]
[]
null
null
null
We thank J. Kim for providing the SU-IP detection results, using tools developed under DARPA grant MDA904-02-C-0437. This work is supported by NSF grant no. IIS085940. Any opinions or conclusions expressed in this paper are those of the authors and do not necessarily reflect the views of these agencies.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
feng-etal-2004-new
https://aclanthology.org/W04-3248
A New Approach for English-Chinese Named Entity Alignment
Traditional word alignment approaches cannot come up with satisfactory results for Named Entities. In this paper, we propose a novel approach using a maximum entropy model for named entity alignment. To ease the training of the maximum entropy model, bootstrapping is used to help supervised learning. Unlike previous wo...
false
[]
[]
null
null
null
Thanks to Hang Li, Changning Huang, Yunbo Cao, and John Chen for their valuable comments on this work. Also thank Kevin Knight for his checking of the English of this paper. Special thanks go to Eduard Hovy for his continuous support and encouragement while the first author was visiting MSRA.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-hulden-2022-detecting
https://aclanthology.org/2022.acl-short.19
Detecting Annotation Errors in Morphological Data with the Transformer
Annotation errors that stem from various sources are usually unavoidable when performing large-scale annotation of linguistic data. In this paper, we evaluate the feasibility of using the Transformer model to detect various types of annotator errors in type-based morphological datasets that contain inflected word forms...
false
[]
[]
null
null
null
null
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kim-etal-2017-adversarial
https://aclanthology.org/P17-1119
Adversarial Adaptation of Synthetic or Stale Data
Two types of data shift common in practice are 1. transferring from synthetic data to live user data (a deployment shift), and 2. transferring from stale data to current data (a temporal shift). Both cause a distribution mismatch between training and evaluation, leading to a model that overfits the flawed training data...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
orr-etal-2014-semi
http://www.lrec-conf.org/proceedings/lrec2014/pdf/511_Paper.pdf
Semi-automatic annotation of the UCU accents speech corpus
The annotation and labeling of speech tasks in large multitask speech corpora is a necessary part of preparing a corpus for distribution. This paper addresses three approaches to annotation and labeling, namely manual, semi automatic and automatic procedures for labeling the UCU Accent Project speech data, at multiling...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
poncelas-etal-2019-combining
https://aclanthology.org/R19-1107
Combining PBSMT and NMT Back-translated Data for Efficient NMT
Neural Machine Translation (NMT) models achieve their best performance when large sets of parallel data are used for training. Consequently, techniques for augmenting the training set have become popular recently. One of these methods is back-translation (Sennrich et al., 2016a), which consists on generating synthetic ...
false
[]
[]
null
null
null
This research has been supported by the ADAPT Centre for Digital Content Technology which is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.This work has also received funding from the European Union's Horizon 2020 research and innovation...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
patra-etal-2016-multimodal
https://aclanthology.org/C16-1186
Multimodal Mood Classification - A Case Study of Differences in Hindi and Western Songs
Music information retrieval has emerged as a mainstream research area in the past two decades. Experiments on music mood classification have been performed mainly on Western music based on audio, lyrics and a combination of both. Unfortunately, due to the scarcity of digitalized resources, Indian music fares poorly in ...
false
[]
[]
null
null
null
The work reported in this paper is supported by a grant from the "Visvesvaraya Ph.D. Scheme for Electronics and IT" funded by Media Lab Asia of Ministry of Electronics and Information Technology (Me-itY), Government of India.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
burga-etal-2015-towards
https://aclanthology.org/W15-2107
Towards a multi-layered dependency annotation of Finnish
We present a dependency annotation scheme for Finnish which aims at respecting the multilayered nature of language. We first tackle the annotation of surfacesyntactic structures (SSyntS) as inspired by the Meaning-Text framework. Exclusively syntactic criteria are used when defining the surface-syntactic relations tags...
false
[]
[]
null
null
null
The work described in this paper has been carried out in the framework of the project Personalized Environmental Service Configuration and Delivery Orchestration (PESCaDO), supported by the European Commission under the contract number FP7-ICT-248594.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
iwai-etal-2019-applying
https://aclanthology.org/W19-6704
Applying Machine Translation to Psychology: Automatic Translation of Personality Adjectives
We introduce our approach to apply machine translation to psychology, especially to translate English adjectives in a psychological personality questionnaire. We first extend seed English personality adjectives with a word2vec model trained with web sentences, and then feed the acquired words to a phrase-based machine ...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
samuel-etal-1998-dialogue-act
https://aclanthology.org/P98-2188
Dialogue Act Tagging with Transformation-Based Learning
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract values of well-motivated features of utterances, such as speaker direction, punctuation marks, and a new feature, called dialogue act cues, which...
false
[]
[]
null
null
null
We wish to thank the members of the VERBMo-BIL research group at DFKI in Germany, particularly Norbert Reithinger, Jan Alexandersson, and Elisabeth Maier, for providing us with the opportunity to work with them and generously granting us access to the VERBMOBIL corpora. This work was partially supported by the NSF Gran...
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bod-2007-unsupervised
https://aclanthology.org/2007.mtsummit-papers.8
Unsupervised syntax-based machine translation: the contribution of discontiguous phrases
We present a new unsupervised syntax-based MT system, termed U-DOT, which uses the unsupervised U-DOP model for learning paired trees, and which computes the most probable target sentence from the relative frequencies of paired subtrees. We test U-DOT on the German-English Europarl corpus, showing that it outperforms t...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-2018-comparison
https://aclanthology.org/Y18-1095
A Comparison of Tone Normalization Methods for Language Variation Research
One methodological issue in tonal acoustic analyses is revisited and resolved in this study. Previous tone normalization methods mainly served for categorizing tones but did not aim to preserve sociolinguistic variation. This study, from the perspective of variationist studies, reevaluates the effectiveness of sixteen ...
false
[]
[]
null
null
null
The author would like to thank Utrecht Institute of Linguistics of Utrecht University, Chinese Scholarship Council and the University of Macau (Startup Research Grant SRG2018-00131-FAH) for supporting this study. Thanks also go to Prof. René Kager and Dr. Hans van de Velde for their very helpful comments and suggestion...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
miller-2009-improved
https://aclanthology.org/N09-1074
Improved Syntactic Models for Parsing Speech with Repairs
This paper introduces three new syntactic models for representing speech with repairs. These models are developed to test the intuition that the erroneous parts of speech repairs (reparanda) are not generated or recognized as such while occurring, but only after they have been corrected. Thus, they are designed to mini...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
khwaileh-al-asad-2020-elmo
https://aclanthology.org/2020.semeval-1.130
ELMo-NB at SemEval-2020 Task 7: Assessing Sense of Humor in EditedNews Headlines Using ELMo and NB
In this paper, we present our submission for SemEval-2020 competition subtask 1 in Task 7 (Hossain et al., 2020a): Assessing Humor in Edited News Headlines. The task consists of estimating the hilariousness of news headlines that have been modified manually by humans using micro-edit changes to make them funny. Our app...
false
[]
[]
null
null
null
We would like to extend our sincere thanks to Dr. Malak Abdullah for her efforts and support. In order to finish this work, we had a lot of straight directions and advice from her, during the fall semester, 2019.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2020-metaphor
https://aclanthology.org/2020.figlang-1.34
Metaphor Detection Using Contextual Word Embeddings From Transformers
The detection of metaphors can provide valuable information about a given text and is crucial to sentiment analysis and machine translation. In this paper, we outline the techniques for word-level metaphor detection used in our submission to the Second Shared Task on Metaphor Detection. We propose using both BERT and X...
false
[]
[]
null
null
null
The authors thank the organizers of the Second Shared Task on Metaphor Detection and the rest of the Duke Data Science Team. We also thank the anonymous reviewers for their insightful comments.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vertanen-kristensson-2011-imagination
https://aclanthology.org/D11-1065
The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources
Augmented and alternative communication (AAC) devices enable users with certain communication disabilities to participate in everyday conversations. Such devices often rely on statistical language models to improve text entry by offering word predictions. These predictions can be improved if the language model is train...
false
[]
[]
null
null
null
We thank Keith Trnka and Horabail Venkatagiri for their assistance. This work was supported by the Engineering and Physical Sciences Research Council (grant number EP/H027408/1).
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
artetxe-etal-2019-effective
https://aclanthology.org/P19-1019
An Effective Approach to Unsupervised Machine Translation
While machine translation has traditionally relied on large amounts of parallel corpora, a recent research line has managed to train both Neural Machine Translation (NMT) and Statistical Machine Translation (SMT) systems using monolingual corpora only. In this paper, we identify and address several deficiencies of exis...
false
[]
[]
null
null
null
This research was partially supported by the Spanish MINECO (UnsupNMT TIN2017-91692-EXP and DOMINO PGC2018-102041-B-I00, cofunded by EU FEDER), the BigKnowledge project (BBVA foundation grant 2018), the UPV/EHU (excellence research group), and the NVIDIA GPU grant program. Mikel Artetxe was supported by a doctoral gran...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
melamud-etal-2016-role
https://aclanthology.org/N16-1118
The Role of Context Types and Dimensionality in Learning Word Embeddings
We provide the first extensive evaluation of how using different types of context to learn skip-gram word embeddings affects performance on a wide range of intrinsic and extrinsic NLP tasks. Our results suggest that while intrinsic tasks tend to exhibit a clear preference to particular types of contexts and higher dime...
false
[]
[]
null
null
null
We thank Do Kook Choe for providing us the jackknifed version of WSJ. We also wish to thank the IBM Watson team for helpful discussions and our anonymous reviewers for their comments. This work was partially supported by the Israel Science Foundation grant 880/12 and the German Research Foundation through the German-Is...
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tillmann-2004-unigram
https://aclanthology.org/N04-4026
A Unigram Orientation Model for Statistical Machine Translation
In this paper, we present a unigram segmentation model for statistical machine translation where the segmentation units are blocks: pairs of phrases without internal structure. The segmentation model uses a novel orientation component to handle swapping of neighbor blocks. During training, we collect block unigram coun...
false
[]
[]
null
null
null
This work was partially supported by DARPA and monitored by SPAWAR under contract No. N66001-99-2-8916. The paper has greatly profited from discussion with Kishore Papineni and Fei Xia.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2019-role
https://aclanthology.org/D19-6405
On the Role of Scene Graphs in Image Captioning
Scene graphs represent semantic information in images, which can help image captioning system to produce more descriptive outputs versus using only the image as context. Recent captioning approaches rely on ad-hoc approaches to obtain graphs for images. However, those graphs introduce noise and it is unclear the effect...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gong-etal-2015-hashtag
https://aclanthology.org/D15-1046
Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags
In recent years, the task of recommending hashtags for microblogs has been given increasing attention. Various methods have been proposed to study the problem from different aspects. However, most of the recent studies have not considered the differences in the types or uses of hashtags. In this paper, we introduce a n...
false
[]
[]
null
null
null
tially funded by National Natural Science Foundation of China (No. 61473092 and 61472088), the National High Technology Research and Development Program of China (No. 2015AA011802), and Shanghai Science and Technology Development Funds (13dz226020013511504300).
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ambati-etal-2010-active-semi
https://aclanthology.org/W10-0102
Active Semi-Supervised Learning for Improving Word Alignment
Word alignment models form an important part of building statistical machine translation systems. Semi-supervised word alignment aims to improve the accuracy of automatic word alignment by incorporating full or partial alignments acquired from humans. Such dedicated elicitation effort is often expensive and depends on ...
false
[]
[]
null
null
null
This research was partially supported by DARPA under grant NBCHC080097. Any opinions, findings, and conclusions expressed in this paper are those of the authors and do not necessarily reflect the views of the DARPA. The first author would like to thank Qin Gao for the semi-supervised word alignment software and help wi...
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tilk-alumae-2017-low
https://aclanthology.org/W17-4503
Low-Resource Neural Headline Generation
Recent neural headline generation models have shown great results, but are generally trained on very large datasets. We focus our efforts on improving headline quality on smaller datasets by the means of pretraining. We propose new methods that enable pre-training all the parameters of the model and utilize all availab...
false
[]
[]
null
null
null
We would like to thank NVIDIA for the donated GPU, the anonymous reviewers for their valuable comments, and Kyunghyun Cho for the help with the CNN/Daily Mail dataset.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
stafanovics-etal-2020-mitigating
https://aclanthology.org/2020.wmt-1.73
Mitigating Gender Bias in Machine Translation with Target Gender Annotations
When translating "The secretary asked for details." to a language with grammatical gender, it might be necessary to determine the gender of the subject "secretary". If the sentence does not contain the necessary information, it is not always possible to disambiguate. In such cases, machine translation systems select th...
true
[]
[]
Gender Equality
null
null
This research was partly done within the scope of the undergraduate thesis project of the first author at the University of Latvia and supervised at Tilde. This research has been supported by the European Regional Development Fund within the joint project of SIA TILDE and University of Latvia "Multilingual Artificial I...
2020
false
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
tan-etal-2014-sensible
https://aclanthology.org/S14-2094
Sensible: L2 Translation Assistance by Emulating the Manual Post-Editing Process
This paper describes the Post-Editor Z system submitted to the L2 writing assistant task in SemEval-2014. The aim of task is to build a translation assistance system to translate untranslated sentence fragments. This is not unlike the task of post-editing where human translators improve machine-generated translations. ...
false
[]
[]
null
null
null
The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2007-2013/ under REA grant agreement n • 317471.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
eckart-etal-2012-influence
http://www.lrec-conf.org/proceedings/lrec2012/pdf/476_Paper.pdf
The Influence of Corpus Quality on Statistical Measurements on Language Resources
The quality of statistical measurements on corpora is strongly related to a strict definition of the measuring process and to corpus quality. In the case of multiple result inspections, an exact measurement of previously specified parameters ensures compatibility of the different measurements performed by different res...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fujiki-etal-2003-automatic
https://aclanthology.org/E03-1061
Automatic Acquisition of Script Knowledge from a Text Collection
In this paper, we describe a method for automatic acquisition of script knowledge from a Japanese text collection. Script knowledge represents a typical sequence of actions that occur in a particular situation. We extracted sequences (pairs) of actions occurring in time order from a Japanese text collection and then ch...
false
[]
[]
null
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
utt-etal-2013-curious
https://aclanthology.org/W13-0604
The Curious Case of Metonymic Verbs: A Distributional Characterization
Logical metonymy combines an event-selecting verb with an entity-denoting noun (e.g., The writer began the novel), triggering a covert event interpretation (e.g., reading, writing). Experimental investigations of logical metonymy must assume a binary distinction between metonymic (i.e. eventselecting) verbs and non-met...
false
[]
[]
null
null
null
Acknowledgements The research for this paper was funded by the German Research Foundation (Deutsche Forschungsgemeinschaft) as part of the SFB 732 "Incremental specification in context" / project D6 "Lexical-semantic factors in event interpretation" at the University of Stuttgart.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hsu-glass-2008-n
https://aclanthology.org/D08-1087
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation
In domains with insufficient matched training data, language models are often constructed by interpolating component models trained from partially matched corpora. Since the ngrams from such corpora may not be of equal relevance to the target domain, we propose an n-gram weighting technique to adjust the component n-gr...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their constructive feedback. This research is supported in part by the T-Party Project, a joint research program between MIT and Quanta Computer Inc.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
berend-etal-2013-lfg
https://aclanthology.org/W13-3608
LFG-based Features for Noun Number and Article Grammatical Errors
We introduce here a participating system of the CoNLL-2013 Shared Task "Grammatical Error Correction". We focused on the noun number and article error categories and constructed a supervised learning system for solving these tasks. We carried out feature engineering and we found that (among others) the f-structure of a...
false
[]
[]
null
null
null
This work was supported in part by the European Union and the European Social Fund through the project FuturICT.hu (grant no.: TÁMOP-4.2.2.C-11/1/KONV-2012-0013).
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
guo-etal-2018-soft
https://aclanthology.org/P18-1064
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
An accurate abstractive summary of a document should contain all its salient information and should be logically entailed by the input document. We improve these important aspects of abstractive summarization via multi-task learning with the auxiliary tasks of question generation and entailment generation, where the fo...
false
[]
[]
null
null
null
We thank the reviewers for their helpful comments. This work was supported by DARPA (YFA17-D17AP00022), Google Faculty Research Award, Bloomberg Data Science Research Grant, and NVidia GPU awards. The views, opinions, and/or findings contained in this article are those of the authors and should not be interpreted as re...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schulz-etal-2019-analysis
https://aclanthology.org/P19-1265
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains
Many complex discourse-level tasks can aid domain experts in their work but require costly expert annotations for data creation. To speed up and ease annotations, we investigate the viability of automatically generated annotation suggestions for such tasks. As an example, we choose a task that is particularly hard for ...
false
[]
[]
null
null
null
This work was supported by the German Federal Ministry of Education and Research (BMBF) under the reference 16DHL1040 (FAMULUS). We thank our annotators M. Achtner, S. Eichler, V. Jung, H. Mißbach, K. Nederstigt, P. Schäffner, R. Schönberger, and H. Werl. We also acknowledge Samaun Ibna Faiz for his contributions to th...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
de-melo-bansal-2013-good
https://aclanthology.org/Q13-1023
Good, Great, Excellent: Global Inference of Semantic Intensities
Adjectives like good, great, and excellent are similar in meaning, but differ in intensity. Intensity order information is very useful for language learners as well as in several NLP tasks, but is missing in most lexical resources (dictionaries, WordNet, and thesauri). In this paper, we present a primarily unsupervised...
false
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[]
null
null
null
We would like to thank the editor and the anonymous reviewers for their helpful feedback.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mizuta-2004-analysis
https://aclanthology.org/Y04-1007
An Analysis of Japanese ta / teiru in a Dynamic Semantics Framework and a Comparison with Korean Temporal Markers a nohta / a twuta
In this paper I will shed new light on the semantics of Japanese tense-aspect markers ta and teiru from dynamic semantics and contrastive perspectives. The focus of investigation will be on the essential difference between ta and teiru used in an aspectual sense related to a perfect. I analyze the asymmetry between ta ...
false
[]
[]
null
null
null
I am grateful to the anonymous reviewer of my abstract and to Norihiro Ogata (Osaka University) for helpful comments. Shortcomings are of course solely mine.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
obermeier-1985-temporal
https://aclanthology.org/P85-1002
Temporal Inferences in Medical Texts
The objectives of this paper are twofold, whereby the computer program is meant to be a particular implementation of a general natural Language [NL] proeessin~ system [NI,PSI which could be used for different domains.
true
[]
[]
Good Health and Well-Being
null
null
null
1985
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
matsuzaki-etal-2013-complexity
https://aclanthology.org/I13-1009
The Complexity of Math Problems -- Linguistic, or Computational?
We present a simple, logic-based architecture for solving math problems written in natural language. A problem is firstly translated to a logical form. It is then rewritten into the input language of a solver algorithm and finally the solver finds an answer. Such a clean decomposition of the task however does not come ...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2021-predicting
https://aclanthology.org/2021.rocling-1.18
Predicting elders' cognitive flexibility from their language use
Increasing research efforts are directed towards the relationship between cognitive decline and language use. However, few of them had focused specifically on how language use is related to cognitive flexibility. This study recruited 51 elders aged 53-74 to discuss their daily activities in focus groups. The transcribe...
true
[]
[]
Good Health and Well-Being
Reduced Inequalities
null
null
2021
false
false
true
false
false
false
false
false
false
true
false
false
false
false
false
false
false
yao-etal-2012-probabilistic
https://aclanthology.org/W12-3022
Probabilistic Databases of Universal Schema
In data integration we transform information from a source into a target schema. A general problem in this task is loss of fidelity and coverage: the source expresses more knowledge than can fit into the target schema, or knowledge that is hard to fit into any schema at all. This problem is taken to an extreme in infor...
false
[]
[]
null
null
null
This work was supported in part by the Center for Intelligent Information Retrieval and the University of Massachusetts and in part by UPenn NSF medium IIS-0803847. We gratefully acknowledge the support of Defense Advanced Research Projects Agency (DARPA) Machine Reading Program under Air Force Research Laboratory (AFR...
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wu-etal-2006-computational
https://aclanthology.org/P06-4011
Computational Analysis of Move Structures in Academic Abstracts
This paper introduces a method for computational analysis of move structures in abstracts of research articles. In our approach, sentences in a given abstract are analyzed and labeled with a specific move in light of various rhetorical functions. The method involves automatically gathering a large number of abstracts f...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
null
2006
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
clemenceau-roche-1993-enhancing
https://aclanthology.org/E93-1059
Enhancing a large scale dictionary with a two-level system
We present in this paper a morphological analyzer and generator for French that contains a dictionary of 700,000 inflected words called DELAF 1, and a full twolevel system aimed at the analysis of new derivatives. Hence, this tool recognizes and generates both correct inflected forms of French simple words (DELAF looku...
false
[]
[]
null
null
null
null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
theeramunkong-etal-1997-exploiting
https://aclanthology.org/W97-1511
Exploiting Contextual Information in Hypothesis Selection for Grammar Refinement
In this paper, we propose a new framework of grammar development and some techniques for exploiting contextual information in a process of grammar refinement. The proposed framework involves two processes, partial grammar acquisition and grammar refinement. In the former process, a rough grammar is constructed from a b...
false
[]
[]
null
null
null
We would like to thank the EDR organization for permitting us to access the EDR corpus. Special thanks go to Dr. Ratana Rujiravanit, who helps me to keenly proofread a draft of this paper. We also wish to thank the members in Okumura laboratory at JAIST for their useful comments and their technical supports.
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rasooli-tetreault-2013-joint
https://aclanthology.org/D13-1013
Joint Parsing and Disfluency Detection in Linear Time
We introduce a novel method to jointly parse and detect disfluencies in spoken utterances. Our model can use arbitrary features for parsing sentences and adapt itself with out-ofdomain data. We show that our method, based on transition-based parsing, performs at a high level of accuracy for both the parsing and disflue...
false
[]
[]
null
null
null
We would like to thank anonymous reviewers for their helpful comments on the paper. Additionally, we were aided by researchers by their prompt responses to our many questions: Mark Core, Luciana Ferrer, Kallirroi Georgila, Mark Johnson, Jeremy Kahn, Yang Liu, Xian Qian, Kenji Sagae, and Wen Wang. Finally, this work was...
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
delmonte-2016-venseseval
https://aclanthology.org/S16-1123
VENSESEVAL at Semeval-2016 Task 2 iSTS - with a full-fledged rule-based approach
In our paper we present our rule-based system for semantic processing. In particular we show examples and solutions that may be challenge our approach. We then discuss problems and shortcomings of Task 2-iSTS. We comment on the existence of a tension between the inherent need to on the one side, to make the task as muc...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shwartz-etal-2020-unsupervised
https://aclanthology.org/2020.emnlp-main.373
Unsupervised Commonsense Question Answering with Self-Talk
Natural language understanding involves reading between the lines with implicit background knowledge. Current systems either rely on pretrained language models as the sole implicit source of world knowledge, or resort to external knowledge bases (KBs) to incorporate additional relevant knowledge. We propose an unsuperv...
false
[]
[]
null
null
null
This research was supported in part by NSF (IIS-1524371, IIS-1714566), DARPA under the CwC program through the ARO (W911NF-15-1-0543), and DARPA under the MCS program through NIWC Pacific (N66001-19-2-4031).
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
berwick-1984-strong
https://aclanthology.org/J84-3005
Strong Generative Capacity, Weak Generative Capacity, and Modern Linguistic Theories
What makes a language a natural language? A longstanding tradition in generative grammar holds that a language is natural just in case it is learnable under a constellation of auxiliary assumptions about input evidence available to children. Yet another approach seeks some key mathematical property that distinguishes t...
false
[]
[]
null
null
null
Much of this research has been sparked by collaboration with Amy S. Weinberg.Thanks to her for many discussions on GB theory. Portions of this work have appeared in The Grammatical Basis of Linguistic Perform-Generative Capacity and Linguistic Theory ance.The research has been carried out at the MIT Artificial Intellig...
1984
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-feng-2021-universal
https://aclanthology.org/2021.emnlp-main.581
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy
Simultaneous machine translation (SiMT) generates translation before reading the entire source sentence and hence it has to trade off between translation quality and latency. To fulfill the requirements of different translation quality and latency in practical applications, the previous methods usually need to train mu...
false
[]
[]
null
null
null
We thank all the anonymous reviewers for their insightful and valuable comments. This work was supported by National Key R&D Program of China (NO. 2017YFE0192900).
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
angelov-2009-incremental
https://aclanthology.org/E09-1009
Incremental Parsing with Parallel Multiple Context-Free Grammars
Parallel Multiple Context-Free Grammar (PMCFG) is an extension of context-free grammar for which the recognition problem is still solvable in polynomial time. We describe a new parsing algorithm that has the advantage to be incremental and to support PMCFG directly rather than the weaker MCFG formalism. The algorithm i...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
anechitei-ignat-2013-multilingual
https://aclanthology.org/W13-3110
Multilingual summarization system based on analyzing the discourse structure at MultiLing 2013
This paper describes the architecture of UAIC 1 's Summarization system participating at MultiLing-2013. The architecture includes language independent text processing modules, but also modules that are adapted for one language or another. In our experiments, the languages under consideration are Bulgarian, German, Gre...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
boussidan-ploux-2011-using
https://aclanthology.org/W11-0134
Using Topic Salience and Connotational Drifts to Detect Candidates to Semantic Change
Semantic change has mostly been studied by historical linguists and typically at the scale of centuries. Here we study semantic change at a finer-grained level, the decade, making use of recent newspaper corpora. We detect semantic change candidates by observing context shifts which can be triggered by topic salience o...
false
[]
[]
null
null
null
This research is supported by the Région Rhône-Alpes, via the Cible Project 2009. Many thanks to Sylvain Lupone, previously engineer at the L2c2 for the tools he developed in this research's framework.
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
cooke-1999-interactive
https://aclanthology.org/W99-0805
Interactive Auditory Demonstrations
The subject matter of speech and hearing is packed full of phenomena and processes which lend themselves to or require auditory demonstration. In the past, this has been achieved through passive media such as tape or CD (e.g. Houtsma et ai, 1987; Bregman & Ahad, 1995). The advent of languages such as MATLAB which suppo...
false
[]
[]
null
null
null
Demonstrations described here were programmed by Guy Brown, Martin Cooke and Stuart Wrigley (Sheffield, UK) and Dan Ellis (ICSI, Berkeley, USA). Stuart Cunningham and Ljubomir Josifovski helped with the testing. Funding for some of the development work was provided by the ELSNET LE Training Showcase, 98/02.
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vasconcelos-etal-2020-aspect
https://aclanthology.org/2020.lrec-1.183
Aspect Flow Representation and Audio Inspired Analysis for Texts
For better understanding how people write texts, it is fundamental to examine how a particular linguistic aspect (e.g., subjectivity, sentiment, argumentation) is exploited in a text. Analysing such an aspect of a text as a whole (i.e., through a summarised single feature) can lead to significant information loss. In t...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sultan-etal-2020-importance
https://aclanthology.org/2020.acl-main.500
On the Importance of Diversity in Question Generation for QA
Automatic question generation (QG) has shown promise as a source of synthetic training data for question answering (QA). In this paper we ask: Is textual diversity in QG beneficial for downstream QA? Using top-p nucleus sampling to derive samples from a transformer-based question generator, we show that diversity-promo...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their valuable feedback.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-church-2005-using
https://aclanthology.org/H05-1089
Using Sketches to Estimate Associations
We should not have to look at the entire corpus (e.g., the Web) to know if two words are associated or not. 1 A powerful sampling technique called Sketches was originally introduced to remove duplicate Web pages. We generalize sketches to estimate contingency tables and associations, using a maximum likelihood estimato...
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bernardi-etal-2006-multilingual
http://www.lrec-conf.org/proceedings/lrec2006/pdf/433_pdf.pdf
Multilingual Search in Libraries. The case-study of the Free University of Bozen-Bolzano
This paper presents an ongoing project aiming at enhancing the OPAC (Online Public Access Catalog) search system of the Library of the Free University of Bozen-Bolzano with multilingual access. The Multilingual search system (MUSIL), we have developed, integrates advanced linguistic technologies in a user friendly inte...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ball-1994-practical
https://aclanthology.org/1994.tc-1.10
Practical Choices for Hardware and Software
The choices we have to make when selecting hardware and software appear very difficult for most of us. The unrelenting rate of change and the torrent of information we are bombarded with is so confusing and intimidating that it can make navigating a traffic-jam in the Parisian rush hour look easy. One of the problems i...
false
[]
[]
null
null
null
null
1994
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dang-etal-1998-investigating-regular
https://aclanthology.org/P98-1046
Investigating Regular Sense Extensions based on Intersective Levin Classes
In this paper we specifically address questions of polysemy with respect to verbs, and how regular extensions of meaning can be achieved through the adjunction of particular syntactic phrases. We see verb classes as the key to making generalizations about regular extensions of meaning. Current approaches to English cla...
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bonheme-grzes-2020-sesam
https://aclanthology.org/2020.semeval-1.102
SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes
This paper presents our submission to task 8 (memotion analysis) of the SemEval 2020 competition. We explain the algorithms that were used to learn our models along with the process of tuning the algorithms and selecting the best model. Since meme analysis is a challenging task with two distinct modalities, we studied ...
false
[]
[]
null
null
null
We thank the SemEval-2020 organisers for their time to prepare the data and run the competition, and the reviewers for their insightful comments.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kanzaki-isahara-2018-building
https://aclanthology.org/L18-1376
Building a List of Synonymous Words and Phrases of Japanese Compound Verbs
We started to construct a database of synonymous expressions of Japanese "Verb + Verb" compounds semi-automatically. Japanese is known to be rich in compound verbs consisting of two verbs joined together. However, we did not have a comprehensive Japanese compound lexicon. Recently a Japanese compound verb lexicon was c...
false
[]
[]
null
null
null
This work was supported by JSPS KAKENHI(Grant-in-Aid for Scientific Research (C) ) Grant Number JP 16K02727.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lin-etal-2021-contextualized
https://aclanthology.org/2021.emnlp-main.77
Contextualized Query Embeddings for Conversational Search
This paper describes a compact and effective model for low-latency passage retrieval in conversational search based on learned dense representations. Prior to our work, the state-ofthe-art approach uses a multi-stage pipeline comprising conversational query reformulation and information retrieval modules. Despite its e...
false
[]
[]
null
null
null
This research was supported in part by the Canada First Research Excellence Fund and the Natural Sciences and Engineering Research Council (NSERC) of Canada. Additionally, we would like to thank the support of Cloud TPUs from Google's TPU Research Cloud (TRC).
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yamauchi-etal-2013-robotic
https://aclanthology.org/W13-4060
A Robotic Agent in a Virtual Environment that Performs Situated Incremental Understanding of Navigational Utterances
We demonstrate a robotic agent in a 3D virtual environment that understands human navigational instructions. Such an agent needs to select actions based on not only instructions but also situations. It is also expected to immediately react to the instructions. Our agent incrementally understands spoken instructions and...
false
[]
[]
null
null
null
We thank Antoine Raux and Shun Sato for their contribution to building the previous versions of this system. Thanks also go to Timo Baumann Okko Buß, and David Schlangen for making their InproTK available.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-etal-2010-machine
https://aclanthology.org/C10-2165
Machine Transliteration: Leveraging on Third Languages
This paper presents two pivot strategies for statistical machine transliteration, namely system-based pivot strategy and model-based pivot strategy. Given two independent source-pivot and pivot-target name pair corpora, the model-based strategy learns a direct sourcetarget transliteration model while the system-based s...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
barthelemy-1998-morphological
https://aclanthology.org/W98-1010
A Morphological Analyzer for Akkadian Verbal Forms with a Model of Phonetic Transformations
The paper describes a first attempt to design a morphological analyzer for Akkadian verbal forms. Akkadian is a semitic dead language which was used in the ancient Mesopotamia. The analyzer described has two levels: the first one is a deterministic and unique paradigm that describes the flexion of Akkadian verbs. The s...
false
[]
[]
null
null
null
The following references, given by one of the referees as relevant to our work, were not used for lack of time.
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
park-caragea-2020-scientific
https://aclanthology.org/2020.coling-main.472
Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning
Scientific keyphrase identification and classification is the task of detecting and classifying keyphrases from scholarly text with their types from a set of predefined classes. This task has a wide range of benefits, but it is still challenging in performance due to the lack of large amounts of labeled data required f...
false
[]
[]
null
null
null
We thank Isabelle Augenstein for several clarifications of the task and the evaluation approach. We also thank our anonymous reviewers for their constructive comments and feedback, which helped improve our paper. This research is supported in part by NSF CAREER award #1802358, NSF CRI award #1823292, and UIC Discovery ...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false