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yuan-etal-2021-cambridge
https://aclanthology.org/2021.semeval-1.74
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction
This paper describes our submission to the SemEval-2021 shared task on Lexical Complexity Prediction. We approached it as a regression problem and present an ensemble combining four systems, one feature-based and three neural with fine-tuning, frequency pre-training and multi-task learning, achieving Pearson scores of ...
false
[]
[]
null
null
null
We thank Sian Gooding and Ekaterina Kochmar for support and advice. This paper reports on research supported by Cambridge Assessment, University of Cambridge. This work was performed using resources provided by the Cambridge Service for Data Driven Discovery operated by the University of Cambridge Research Computing Se...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
filice-etal-2017-kelp
https://aclanthology.org/S17-2053
KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering
This paper describes the KeLP system participating in the SemEval-2017 community Question Answering (cQA) task. The system is a refinement of the kernel-based sentence pair modeling we proposed for the previous year challenge. It is implemented within the Kernel-based Learning Platform called KeLP, from which we inheri...
false
[]
[]
null
null
null
This work has been partially supported by the EC project CogNet, 671625 (H2020-ICT-2014-2, Research and Innovation action).
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhou-etal-2021-low
https://aclanthology.org/2021.sustainlp-1.1
Low Resource Quadratic Forms for Knowledge Graph Embeddings
We address the problem of link prediction between entities and relations of knowledge graphs. State of the art techniques that address this problem, while increasingly accurate, are computationally intensive. In this paper we cast link prediction as a sparse convex program whose solution defines a quadratic form that i...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2015-dependency-parsing
https://aclanthology.org/Y15-2039
Dependency parsing for Chinese long sentence: A second-stage main structure parsing method
This paper explores the problem of parsing Chinese long sentences. Inspired by human sentence processing, a second-stage parsing method, referred as main structure parsing in this paper, are proposed to improve the parsing performance as well as maintaining its high accuracy and efficiency on Chinese long sentences. Th...
false
[]
[]
null
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tkachenko-etal-2018-searching
https://aclanthology.org/P18-1112
Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings
We explore the notion of subjectivity, and hypothesize that word embeddings learnt from input corpora of varying levels of subjectivity behave differently on natural language processing tasks such as classifying a sentence by sentiment, subjectivity, or topic. Through systematic comparative analyses, we establish this ...
false
[]
[]
null
null
null
This research is supported by the National Research Foundation, Prime Minister's Office, Singapore under its NRF Fellowship Programme (Award No. NRF-NRFF2016-07).
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shuster-etal-2020-image
https://aclanthology.org/2020.acl-main.219
Image-Chat: Engaging Grounded Conversations
To achieve the long-term goal of machines being able to engage humans in conversation, our models should captivate the interest of their speaking partners. Communication grounded in images, whereby a dialogue is conducted based on a given photo, is a setup naturally appealing to humans (Hu et al., 2014). In this work w...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
xia-etal-2000-comparing
https://aclanthology.org/W00-1208
Comparing Lexicalized Treebank Grammars Extracted from Chinese, Korean, and English Corpora
In this paper, we present a method for comparing Lexicalized Tree Adjoining Grammars extracted from annotated corpora for three languages: English, Chinese and Korean. This method makes it possible to do a quantitative comparison between the syntactic structures of each language, thereby providing a way of testing the ...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lubis-etal-2018-unsupervised
https://aclanthology.org/W18-5017
Unsupervised Counselor Dialogue Clustering for Positive Emotion Elicitation in Neural Dialogue System
Positive emotion elicitation seeks to improve user's emotional state through dialogue system interaction, where a chatbased scenario is layered with an implicit goal to address user's emotional needs. Standard neural dialogue system approaches still fall short in this situation as they tend to generate only short, gene...
true
[]
[]
Good Health and Well-Being
null
null
Part of this work was supported by JSPS KAKENHI Grant Numbers JP17H06101 and JP17K00237.
2018
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
van-halteren-2008-source
https://aclanthology.org/C08-1118
Source Language Markers in EUROPARL Translations
This paper shows that it is very often possible to identify the source language of medium-length speeches in the EU-ROPARL corpus on the basis of frequency counts of word n-grams (87.2%-96.7% accuracy depending on classification method). The paper also examines in detail which positive markers are most powerful and ide...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
karimi-tang-2019-learning
https://aclanthology.org/N19-1347
Learning Hierarchical Discourse-level Structure for Fake News Detection
On the one hand, nowadays, fake news articles are easily propagated through various online media platforms and have become a grand threat to the trustworthiness of information. On the other hand, our understanding of the language of fake news is still minimal. Incorporating hierarchical discourse-level structure of fak...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
bari-etal-2021-uxla
https://aclanthology.org/2021.acl-long.154
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP
Transfer learning has yielded state-of-the-art (SoTA) results in many supervised NLP tasks. However, annotated data for every target task in every target language is rare, especially for low-resource languages. We propose UXLA a novel unsupervised data augmentation framework for zero-resource transfer learning scenario...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
navigli-etal-2010-annotated
http://www.lrec-conf.org/proceedings/lrec2010/pdf/20_Paper.pdf
An Annotated Dataset for Extracting Definitions and Hypernyms from the Web
This paper presents and analyzes an annotated corpus of definitions, created to train an algorithm for the automatic extraction of definitions and hypernyms from Web documents. As an additional resource, we also include a corpus of non-definitions with syntactic patterns similar to those of definition sentences, e.g.: ...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
deville-etal-1996-anthem
https://aclanthology.org/1996.amta-1.27
ANTHEM: advanced natural language interface for multilingual text generation in healthcare (LRE 62-007)
The ANTHEM project: "Advanced Natural Language Interface for Multilingual Text Generation in Healthcare" (LRE 62-007) is co-financed by the European Union within the "Linguistic Research and Engineering" program. The ANTHEM consortium is coordinated by W. Ceusters of RAMIT vzw (Ghent University Hospital) and further co...
true
[]
[]
Good Health and Well-Being
null
null
null
1996
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sapena-etal-2010-global
https://aclanthology.org/C10-2125
A Global Relaxation Labeling Approach to Coreference Resolution
This paper presents a constraint-based graph partitioning approach to coreference resolution solved by relaxation labeling. The approach combines the strengths of groupwise classifiers and chain formation methods in one global method. Experiments show that our approach significantly outperforms systems based on separat...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
artetxe-etal-2015-building
https://aclanthology.org/2015.eamt-1.3
Building hybrid machine translation systems by using an EBMT preprocessor to create partialtranslations
This paper presents a hybrid machine translation framework based on a preprocessor that translates fragments of the input text by using example-based machine translation techniques. The preprocessor resembles a translation memory with named-entity and chunk generalization, and generates a high quality partial translati...
false
[]
[]
null
null
null
The research leading to these results was carried out as part of the TACARDI project (Spanish Ministry of Education and Science, TIN2012-38523-C02-011, with FEDER funding) and the QTLeap project funded by the European Commission (FP7-ICT-2013.4.1-610516).
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pawar-etal-2015-noun
https://aclanthology.org/W15-5905
Noun Phrase Chunking for Marathi using Distant Supervision
Information Extraction from Indian languages requires effective shallow parsing, especially identification of "meaningful" noun phrases. Particularly, for an agglutinative and free word order language like Marathi, this problem is quite challenging. We model this task of extracting noun phrases as a sequence labelling ...
false
[]
[]
null
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
webb-etal-2008-cross
http://www.lrec-conf.org/proceedings/lrec2008/pdf/502_paper.pdf
Cross-Domain Dialogue Act Tagging
We present recent work in the area of Cross-Domain Dialogue Act (DA) tagging. We have previously reported on the use of a simple dialogue act classifier based on purely intra-utterance features-principally involving word n-gram cue phrases automatically generated from a training corpus. Such a classifier performs surpr...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
volokh-neumann-2012-parsing
https://aclanthology.org/W12-5615
Parsing Hindi with MDParser
We describe our participation in the MTPIL Hindi Parsing Shared Task-2012. Our system achieved the following results: 82.44% LAS/90.91% UAS (auto) and 85.31% LAS/92.88% UAS (gold). Our parser is based on the linear classification, which is suboptimal as far as the accuracy is concerned. The strong point of our approach...
false
[]
[]
null
null
null
The work presented here was partially supported by a research grant from the German Federal Ministry of Education and Research (BMBF) to the DFKI project Deependance (FKZ. 01IW11003).
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
moeljadi-etal-2015-building
https://aclanthology.org/W15-3302
Building an HPSG-based Indonesian Resource Grammar (INDRA)
This paper presents the creation and the initial stage development of a broad
false
[]
[]
null
null
null
Thanks to Michael Wayne Goodman and Dan Flickinger for teaching us how to use GitHub and FFTB. Thanks to Fam Rashel for helping us with POS Tagger and to Lian Tze Lim for helping us improve Wordnet Bahasa. This research was supported in part by the MOE Tier 2 grant That's what you meant: a Rich Representation for Manip...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
borovikov-etal-2009-edeal
https://aclanthology.org/2009.mtsummit-government.7
The EDEAL Project for Automated Processing of African Languages
The EDEAL project seeks to identify, collect, evaluate, and enhance resources relevant to processing collected material in African languages. Its priority languages are Swahili, Hausa, Oromo, and Yoruba. Resources of interest include software for OCR, Machine Translation (MT), and Named Entity Extraction (NEE), as well...
false
[]
[]
null
null
null
The work described here is performed by a team at CACI that includes, in addition to the authors, Marta Cruz, Mark Turner, and a large team of native speakers of different African languages.This work is sponsored by funding from the Defense Intelligence Agency (DIA) under contract GS-35F-0342N. We are very grateful for...
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
offersgaard-hansen-2016-facilitating
https://aclanthology.org/L16-1398
Facilitating Metadata Interoperability in CLARIN-DK
The issue for CLARIN archives at the metadata level is to facilitate the user's possibility to describe their data, even with their own standard, and at the same time make these metadata meaningful for a variety of users with a variety of resource types, and ensure that the metadata are useful for search across all res...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ito-etal-2020-langsmith
https://aclanthology.org/2020.emnlp-demos.28
Langsmith: An Interactive Academic Text Revision System
Despite the current diversity and inclusion initiatives in the academic community, researchers with a non-native command of English still face significant obstacles when writing papers in English. This paper presents the Langsmith editor, which assists inexperienced, non-native researchers to write English papers, espe...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
We are grateful to Ana Brassard for her feedback on English. We also appreciate the participants of our user studies. This work was supported by Grant-in-Aid for JSPS Fellows Grant Number JP20J22697. 21 We conducted the one-side sign test. The difference is significant with p ≤ 0.05.
2020
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
chang-etal-2019-bias
https://aclanthology.org/D19-2004
Bias and Fairness in Natural Language Processing
null
true
[]
[]
Reduced Inequalities
Gender Equality
null
null
2019
false
false
false
false
true
false
false
false
false
true
false
false
false
false
false
false
false
mccoy-etal-2020-berts
https://aclanthology.org/2020.blackboxnlp-1.21
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance
If the same neural network architecture is trained multiple times on the same dataset, will it make similar linguistic generalizations across runs? To study this question, we finetuned 100 instances of BERT on the Multigenre Natural Language Inference (MNLI) dataset and evaluated them on the HANS dataset, which evaluat...
false
[]
[]
null
null
null
We are grateful to Emily Pitler, Dipanjan Das, and the members of the Johns Hopkins Computation and Psycholinguistics lab group for helpful comments. Any errors are our own.This project is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. 1746891 and by a ...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jimenez-etal-2013-unal
https://aclanthology.org/S13-2020
UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
In this paper we describe the system used to participate in the sub task 5b in the Phrasal Semantics challenge (task 5) in SemEval 2013. This sub task consists in discriminating literal and figurative usage of phrases with compositional and non-compositional meanings in context. The proposed approach is based on part-o...
false
[]
[]
null
null
null
This research was funded in part by the Systems and Industrial Engineering Department, the Office of Student Welfare of the National University of Colombia, Bogotá, and through a grant from the Colombian Department for Science, Technology and Innovation, Colciencias, proj. 1101-521-28465 with funding from "El Patrimoni...
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhao-etal-2015-auditory
https://aclanthology.org/Y15-1036
Auditory Synaesthesia and Near Synonyms: A Corpus-Based Analysis of sheng1 and yin1 in Mandarin Chinese
This paper explores the nature of linguistic synaesthesia in the auditory domain through a corpus-based lexical semantic study of near synonyms. It has been established that the near synonyms 聲 sheng "sound" and 音 yin "sound" in Mandarin Chinese have different semantic functions in representing auditory production and ...
false
[]
[]
null
null
null
We would like to give thanks to Dennis Tay from the Hong Kong Polytechnic University for his insightful comments on this work.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zheng-etal-2019-boundary
https://aclanthology.org/D19-1034
A Boundary-aware Neural Model for Nested Named Entity Recognition
In natural language processing, it is common that many entities contain other entities inside them. Most existing works on named entity recognition (NER) only deal with flat entities but ignore nested ones. We propose a boundary-aware neural model for nested NER which leverages entity boundaries to predict entity categ...
false
[]
[]
null
null
null
This work was supported by the Fundamental Research Funds for the Central Universities, SCUT (No. 2017ZD048, D2182480), the Science and Technology Planning Project of Guangdong Province (No.2017B050506004), the Science and Technology Programs of Guangzhou (No. 201704030076,201802010027,201902010046) and a CUHK Research...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fares-etal-2019-arabic
https://aclanthology.org/W19-4626
Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features
Studies on Dialectical Arabic are growing more important by the day as it becomes the primary written and spoken form of Arabic online in informal settings. Among the important problems that should be explored is that of dialect identification. This paper reports different techniques that can be applied towards such go...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hillard-etal-2003-detection
https://aclanthology.org/N03-2012
Detection Of Agreement vs. Disagreement In Meetings: Training With Unlabeled Data
To support summarization of automatically transcribed meetings, we introduce a classifier to recognize agreement or disagreement utterances, utilizing both word-based and prosodic cues. We show that hand-labeling efforts can be minimized by using unsupervised training on a large unlabeled data set combined with supervi...
true
[]
[]
Partnership for the goals
null
null
This work is supported in part by the NSF under grants 0121396 and 0619921, DARPA grant N660019928924, and NASA grant NCC 2-1256. Any opinions, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of these agencies.
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
zajac-1999-aspects
https://aclanthology.org/W99-0506
On Some Aspects of Lexical Standardization
In developing and using many large mult~-hngual multt-purpose lexicons at CRL, we ~denttfied three dlstmct problem areas (1) an appropriate metalanguage (formahsm) tot representing and processing lex~cal knowledge (2) a standard generic lex~cal framework defimng a common lex~cal entry structure (names ot features and t...
false
[]
[]
null
null
null
null
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dagan-2009-time
https://aclanthology.org/W09-3701
It's time for a semantic inference engine
A common computational goal is to encapsulate the modeling of a target phenomenon within a unified and comprehensive "engine", which addresses a broad range of the required processing tasks. This goal is followed in common modeling of the morphological and syntactic levels of natural language, where most processing tas...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
el-baff-etal-2018-challenge
https://aclanthology.org/K18-1044
Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus
News editorials are said to shape public opinion, which makes them a powerful tool and an important source of political argumentation. However, rarely do editorials change anyone's stance on an issue completely, nor do they tend to argue explicitly (but rather follow a subtle rhetorical strategy). So, what does argumen...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
ji-etal-2021-discrete
https://aclanthology.org/2021.naacl-main.431
Discrete Argument Representation Learning for Interactive Argument Pair Identification
In this paper, we focus on identifying interactive argument pairs from two posts with opposite stances to a certain topic. Considering opinions are exchanged from different perspectives of the discussing topic, we study the discrete representations for arguments to capture varying aspects in argumentation languages (e....
false
[]
[]
null
null
null
This work is partially supported by National Natural Science Foundation of China (No.71991471), Science and Technology Commission of Shanghai Municipality Grant (No.20dz1200600). Jing Li is supported by CCF-Tencent Rhino-Bird Young Faculty Open Research Fund (R-ZDCJ), the Hong Kong Polytechnic University internal funds...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shen-etal-2006-jhu
https://aclanthology.org/2006.iwslt-evaluation.8
The JHU workshop 2006 IWSLT system
This paper describes the SMT we built during the 2006 JHU Summer Workshop for the IWSLT 2006 evaluation. Our effort focuses on two parts of the speech translation problem: 1) efficient decoding of word lattices and 2) novel applications of factored translation models to IWSLT-specific problems. In this paper, we presen...
false
[]
[]
null
null
null
We would like to thank our JHU summer workshop team members (Philipp Koehn, Hieu Hoang, Chris Dyer, Ondrej Bojar, Chris Callison-Burch, Brooke Cowan, Christine Moran, Alexandra Constantin and Evan Herbst) who made this construction of this system possible. We wish to acknowledge their diligent efforts to make the moses...
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ali-etal-2013-hear
https://aclanthology.org/I13-1077
Can I Hear You? Sentiment Analysis on Medical Forums
Text mining studies have started to investigae relations between positive and negative opinions and patients' physical health. Several studies linked the personal lexicon with health and the health-related behavior of the individual. However, few text mining studies were performed to analyze opinions expressed in a lar...
true
[]
[]
Good Health and Well-Being
null
null
This work in part has been funded by a Natural Sciences and Engineering Research Council of Canada Discovery Research Grant and by a Children's Hospital of Eastern Ontario Department of Surgery Research Grant.
2013
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
strzalkowski-vauthey-1991-fast
https://aclanthology.org/H91-1068
Fast Text Processing for Information Retrieval
We describe an advanced text processing system for information retrieval from natural language document collections. We use both syntactic processing as well as statistical term clustering to obtain a representation of documents which would be more accurate than those obtained with more traditional keyword methods. A r...
false
[]
[]
null
null
null
null
1991
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kokkinakis-gerdin-2009-issues
https://aclanthology.org/W09-4505
Issues on Quality Assessment of SNOMED CT® Subsets -- Term Validation and Term Extraction
The aim of this paper is to apply and develop methods based on Natural Language Processing for automatically testing the validity, reliability and coverage of various Swedish SNOMED-CT subsets, the Systematized NOmenclature of MEDicine-Clinical Terms a multiaxial, hierarchical classification system which is currently b...
false
[]
[]
null
null
null
We would like to thank the editors of the Journal of the Swedish Medical Association and DiabetologNytt for making the electronic versions available to this study.
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
xiao-etal-2013-learning
https://aclanthology.org/D13-1016
Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering
Domain adaptation has been popularly studied on exploiting labeled information from a source domain to learn a prediction model in a target domain. In this paper, we develop a novel representation learning approach to address domain adaptation for text classification with automatically induced discriminative latent fea...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
iida-etal-2010-incorporating
https://aclanthology.org/P10-1128
Incorporating Extra-Linguistic Information into Reference Resolution in Collaborative Task Dialogue
This paper proposes an approach to reference resolution in situated dialogues by exploiting extra-linguistic information. Recently, investigations of referential behaviours involved in situations in the real world have received increasing attention by researchers (Di Eugenio et al., 2000; Byron, 2005; van Deemter, 2007...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
imamura-2002-application
https://aclanthology.org/2002.tmi-papers.9
Application of translation knowledge acquired by hierarchical phrase alignment for pattern-based MT
Hierarchical phrase alignment is a method for extracting equivalent phrases from bilingual sentences, even though they belong to different language families. The method automatically extracts transfer knowledge from about 125K English and Japanese bilingual sentences and then applies it to a pattern-based MT system. Th...
false
[]
[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hua-wang-2017-pilot
https://aclanthology.org/W17-4513
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization
We study the problem of domain adaptation for neural abstractive summarization. We make initial efforts in investigating what information can be transferred to a new domain. Experimental results on news stories and opinion articles indicate that neural summarization model benefits from pre-training based on extractive ...
false
[]
[]
null
null
null
This work was supported in part by National Science Foundation Grant IIS-1566382 and a GPU gift from Nvidia. We thank three anonymous reviewers for their valuable suggestions on various aspects of this work.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
cotterell-etal-2016-sigmorphon
https://aclanthology.org/W16-2002
The SIGMORPHON 2016 Shared Task---Morphological Reinflection
The 2016 SIGMORPHON Shared Task was devoted to the problem of morphological reinflection. It introduced morphological datasets for 10 languages with diverse typological characteristics. The shared task drew submissions from 9 teams representing 11 institutions reflecting a variety of approaches to addressing supervised...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2021-easy
https://aclanthology.org/2021.findings-acl.415
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation
Mistranslated numbers have the potential to cause serious effects, such as financial loss or medical misinformation. In this work we develop comprehensive assessments of the robustness of neural machine translation systems to numerical text via behavioural testing. We explore a variety of numerical translation capabili...
false
[]
[]
null
null
null
We thank all anonymous reviewers for their constructive comments. The authors acknowledge funding support by Facebook.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pulman-1980-parsing
https://aclanthology.org/C80-1009
Parsing and Syntactic Theory
It is argued that many constraints on syntactic rules are a consequence of simple assumptions about parsing mechanisms. If generally true, this suggests an interesting new line of research for syntactic theory.
false
[]
[]
null
null
null
null
1980
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hajishirzi-etal-2013-joint
https://aclanthology.org/D13-1029
Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves
Many errors in coreference resolution come from semantic mismatches due to inadequate world knowledge. Errors in named-entity linking (NEL), on the other hand, are often caused by superficial modeling of entity context. This paper demonstrates that these two tasks are complementary. We introduce NECO, a new model for n...
false
[]
[]
null
null
null
The research was supported in part by grants from DARPA under the DEFT program through the AFRL (FA8750-13-2-0019) and the CSSG (N11AP20020), the ONR (N00014-12-1-0211), and the NSF (IIS-1115966). Support was also provided by a gift from Google, an NSF Graduate Research Fellowship, and the WRF / TJ Cable Professorship....
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
moraes-etal-2014-adapting
https://aclanthology.org/W14-4409
Adapting Graph Summaries to the Users' Reading Levels
Deciding on the complexity of a generated text in NLG systems is a contentious task. Some systems propose the generation of simple text for low-skilled readers; some choose what they anticipate to be a "good measure" of complexity by balancing sentence length and number of sentences (using scales such as the D-level se...
true
[]
[]
Quality Education
null
null
null
2014
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
navigli-velardi-2002-automatic
http://www.lrec-conf.org/proceedings/lrec2002/pdf/47.pdf
Automatic Adaptation of WordNet to Domains
null
false
[]
[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
calixto-etal-2019-latent
https://aclanthology.org/P19-1642
Latent Variable Model for Multi-modal Translation
In this work, we propose to model the interaction between visual and textual features for multi-modal neural machine translation (MMT) through a latent variable model. This latent variable can be seen as a multi-modal stochastic embedding of an image and its description in a foreign language. It is used in a target-lan...
false
[]
[]
null
null
null
This work is supported by the Dutch Organisation for Scientific Research (NWO) VICI Grant nr. 277-89-002.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
reynaert-etal-2010-balancing
http://www.lrec-conf.org/proceedings/lrec2010/pdf/549_Paper.pdf
Balancing SoNaR: IPR versus Processing Issues in a 500-Million-Word Written Dutch Reference Corpus
In The Low Countries, a major reference corpus for written Dutch is currently being built. In this paper, we discuss the interplay between data acquisition and data processing during the creation of the SoNaR Corpus. Based on recent developments in traditional corpus compiling and new web harvesting approaches, SoNaR i...
false
[]
[]
null
null
null
The SoNaR project is funded by the Nederlandse Taalunie (NTU: Dutch Language Union) within the framework of the STEVIN programme under grant number STE07014. See also http://taalunieversum.org/taal/technologie/stevin/
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2009-chinese
https://aclanthology.org/W09-0433
Chinese Syntactic Reordering for Adequate Generation of Korean Verbal Phrases in Chinese-to-Korean SMT
Chinese and Korean belong to different language families in terms of word-order and morphological typology. Chinese is an SVO and morphologically poor language while Korean is an SOV and morphologically rich one. In Chinese-to-Korean SMT systems, systematic differences between the verbal systems of the two languages ma...
false
[]
[]
null
null
null
This work was supported in part by MKE & II-TA through the IT Leading R&D Support Project and also in part by the BK 21 Project in 2009.
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yuen-etal-2004-morpheme
https://aclanthology.org/C04-1145
Morpheme-based Derivation of Bipolar Semantic Orientation of Chinese Words
The evaluative character of a word is called its semantic orientation (SO). A positive SO indicates desirability (e.g. Good, Honest) and a negative SO indicates undesirability (e.g., Bad, Ugly). This paper presents a method, based on Turney (2003), for inferring the SO of a word from its statistical association with st...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
demirsahin-etal-2020-open
https://aclanthology.org/2020.lrec-1.804
Open-source Multi-speaker Corpora of the English Accents in the British Isles
This paper presents a dataset of transcribed highquality audio of English sentences recorded by volunteers speaking with different accents of the British Isles. The dataset is intended for linguistic analysis as well as use for speech technologies. The recording scripts were curated specifically for accent elicitation,...
false
[]
[]
null
null
null
The authors would like to thank Dawn Knight, Anna Jones and Alex Thomas from Cardiff University for their assis tance in collecting the Welsh English data presented in this paper. The authors also thank Richard Sproat for his com ments on the earlier drafts of this paper. Finally, the authors thank the anonymous review...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kruengkrai-etal-2021-multi
https://aclanthology.org/2021.findings-acl.217
A Multi-Level Attention Model for Evidence-Based Fact Checking
Evidence-based fact checking aims to verify the truthfulness of a claim against evidence extracted from textual sources. Learning a representation that effectively captures relations between a claim and evidence can be challenging. Recent state-of-the-art approaches have developed increasingly sophisticated models base...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
We thank Erica Cooper (NII) for providing valuable feedback on an earlier draft of this paper. This work is supported by JST CREST Grants (JPMJCR18A6 and JPMJCR20D3) and MEXT KAKENHI Grants (21H04906), Japan.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
liu-etal-2021-self
https://aclanthology.org/2021.naacl-main.334
Self-Alignment Pretraining for Biomedical Entity Representations
Despite the widespread success of selfsupervised learning via masked language models (MLM), accurately capturing fine-grained semantic relationships in the biomedical domain remains a challenge. This is of paramount importance for entity-level tasks such as entity linking where the ability to model entity relations (es...
true
[]
[]
Good Health and Well-Being
null
null
We thank the three reviewers and the Area Chair for their insightful comments and suggestions. FL is supported by Grace & Thomas C.H. Chan Cambridge Scholarship. NC and MB would like to
2021
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-emerson-2022-learning
https://aclanthology.org/2022.acl-long.275
Learning Functional Distributional Semantics with Visual Data
Functional Distributional Semantics is a recently proposed framework for learning distributional semantics that provides linguistic interpretability. It models the meaning of a word as a binary classifier rather than a numerical vector. In this work, we propose a method to train a Functional Distributional Semantics mo...
false
[]
[]
null
null
null
null
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pultrova-2019-correlation
https://aclanthology.org/W19-8504
Correlation between the gradability of Latin adjectives and the ability to form qualitative abstract nouns
Comparison is distinctly limited in scope among grammatical categories in that it is unable, for semantic reasons, to produce comparative and superlative forms for many representatives of the word class to which it applies as a category (adjectives and their derived adverbs). In Latin and other dead languages, it is no...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
webber-di-eugenio-1990-free
https://aclanthology.org/C90-2068
Free Adjuncts in Natural Language Instructions
In thi,~ paper, we give a brief account of our project Animation from Instructions, the view of instructions it reflects, and the semantics of one construction-the free adjunct-that is common in Natural Language instructions. *We thank Mark Steedman, Hans Karlgren and Breck Baldwin for comments and advice. They are not...
false
[]
[]
null
null
null
null
1990
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
watanabe-sumita-2002-bidirectional
https://aclanthology.org/C02-1050
Bidirectional Decoding for Statistical Machine Translation
This paper describes the right-to-left decoding method, which translates an input string by generating in right-to-left direction. In addition, presented is the bidirectional decoding method, that can take both of the advantages of left-to-right and right-to-left decoding method by generating output in both ways and by...
false
[]
[]
null
null
null
The research reported here was supported in part by a contract with the Telecommunications Advancement Organization of Japan entitled, "A study of speech dialogue translation technology based on a large corpus".
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lee-1999-spoken
https://aclanthology.org/Y99-1019
Spoken Language Systems - Technical Challenges for Speech and Natural Language Processing
Speech is the most natural means of communication among humans. It is also believed that spoken language processing will play a major role in establishing a universal interface between humans and machines. Most of the existing spoken language systems are rather primitive. For example, speech synthesizers for reading un...
false
[]
[]
null
null
null
null
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
peng-hu-2016-web
https://aclanthology.org/2016.amta-users.4
Web App UI Layout Sniffer
layout doesn't work. ciency is painfully low. Consequently, it dramatically slows down product delivery in today's
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-cardie-2012-focused
https://aclanthology.org/W12-1642
Focused Meeting Summarization via Unsupervised Relation Extraction
We present a novel unsupervised framework for focused meeting summarization that views the problem as an instance of relation extraction. We adapt an existing in-domain relation learner (Chen et al., 2011) by exploiting a set of task-specific constraints and features. We evaluate the approach on a decision summarizatio...
false
[]
[]
null
null
null
Acknowledgments This work was supported in part by National Science Foundation Grants IIS-0968450 and IIS-1111176, and by a gift from Google.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ritchie-etal-2006-find
https://aclanthology.org/W06-0804
How to Find Better Index Terms Through Citations
We consider the question of how information from the textual context of citations in scientific papers could improve indexing of the cited papers. We first present examples which show that the context should in principle provide better and new index terms. We then discuss linguistic phenomena around citations and which...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lee-etal-2017-ntnu
https://aclanthology.org/S17-2165
The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields
This study describes the design of the NTNU system for the ScienceIE task at the SemEval 2017 workshop. We use self-defined feature templates and multiple conditional random fields with extracted features to identify keyphrases along with categorized labels and their relations from scientific publications. A total of 1...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
This study was partially supported by the Ministry of Science and Technology, under the grant MOST 105-2221-E-003-020-MY2 and the "Aim for the Top University Project" and "Center of Learning Technology for Chinese" of National Taiwan Normal University, sponsored by the Ministry of Education, Taiwan.
2017
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
polisciuc-etal-2015-understanding
https://aclanthology.org/W15-2810
Understanding Urban Land Use through the Visualization of Points of Interest
Semantic data regarding points of interest in urban areas are hard to visualize. Due to the high number of points and categories they belong, as well as the associated textual information, maps become heavily cluttered and hard to read. Using traditional visualization techniques (e.g. dot distribution maps, typographic...
true
[]
[]
Sustainable Cities and Communities
null
null
This work was supported by the InfoCrowds project -FCT-PTDC/ECM-TRA/1898/2012FCT.
2015
false
false
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
rothlisberger-2002-cls
https://aclanthology.org/2002.tc-1.11
CLS Workflow - a translation workflow system
As the translation industry is faced with ever more challenging deadlines to meet and production costs to keep under tight control, translation companies need to find efficient ways of managing their work processes. CLS Corporate Language Services AG, a translation provider for the financial services and telecoms indus...
false
[]
[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dobrovoljc-etal-2019-improving
https://aclanthology.org/W19-8004
Improving UD processing via satellite resources for morphology
This paper presents the conversion of the reference language resources for Croatian and Slovenian morphology processing to UD morphological specifications. We show that the newly available training corpora and inflectional dictionaries improve the baseline stanfordnlp performance obtained on officially released UD data...
false
[]
[]
null
null
null
The authors acknowledge the financial support from the Slovenian Research Agency through the research core funding no. P6-0411 (Language resources and technologies for Slovene language), the research project no. J6-8256 (New grammar of contemporary standard Slovene: sources and methods) and the Slovenian research infra...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wolf-sonkin-etal-2018-structured
https://aclanthology.org/P18-1245
A Structured Variational Autoencoder for Contextual Morphological Inflection
Statistical morphological inflectors are typically trained on fully supervised, type-level data. One remaining open research question is the following: How can we effectively exploit raw, token-level data to improve their performance? To this end, we introduce a novel generative latent-variable model for the semi-super...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ahmed-etal-2020-multilingual
https://aclanthology.org/2020.lrec-1.516
Multilingual Corpus Creation for Multilingual Semantic Similarity Task
In natural language processing, the performance of a semantic similarity task relies heavily on the availability of a large corpus. Various monolingual corpora are available (mainly English); but multilingual resources are very limited. In this work, we describe a semiautomated framework to create a multilingual corpus...
false
[]
[]
null
null
null
This research was supported by Mitacs through the Mitacs Accelerate program. We also acknowledge the helpful comments provided by the reviewers.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hermann-etal-2012-unsupervised
https://aclanthology.org/S12-1021
An Unsupervised Ranking Model for Noun-Noun Compositionality
We propose an unsupervised system that learns continuous degrees of lexicality for noun-noun compounds, beating a strong baseline on several tasks. We demonstrate that the distributional representations of compounds and their parts can be used to learn a finegrained representation of semantic contribution. Finally, we ...
false
[]
[]
null
null
null
The authors would like to acknowledge the use of the Oxford Supercomputing Centre (OSC) in carrying out this work.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
babych-etal-2009-evaluation
https://aclanthology.org/2009.eamt-1.6
Evaluation-Guided Pre-Editing of Source Text: Improving MT-Tractability of Light Verb Constructions
This paper reports an experiment on evaluating and improving MT quality of light-verb construction (LVCs)-combinations of a 'semantically depleted' verb and its complement. Our method uses construction-level human evaluation for systematic discovery of mistranslated contexts and creating automatic pre-editing rules, wh...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pan-etal-2019-twitter
https://aclanthology.org/P19-1252
Twitter Homophily: Network Based Prediction of User's Occupation
In this paper, we investigate the importance of social network information compared to content information in the prediction of a Twitter user's occupational class. We show that the content information of a user's tweets, the profile descriptions of a user's follower/following community, and the user's social network p...
false
[]
[]
null
null
null
We would like to thank the reviewers for their helpful comments on our work. This work is supported by DSO grant DSOCL17061.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nguyen-chiang-2017-transfer
https://aclanthology.org/I17-2050
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation
We present a simple method to improve neural translation of a low-resource language pair using parallel data from a related, also low-resource, language pair. The method is based on the transfer method of Zoph et al., but whereas their method ignores any source vocabulary overlap, ours exploits it. First, we split word...
false
[]
[]
null
null
null
This research was supported in part by University of Southern California subcontract 67108176 under DARPA contract HR0011-15-C-0115. Nguyen was supported by a fellowship from the Vietnam Education Foundation. We would like to express our great appreciation to Dr. Sharon Hu for letting us use her group's GPU cluster (su...
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kochmar-shutova-2017-modelling
https://aclanthology.org/W17-5033
Modelling semantic acquisition in second language learning
Using methods of statistical analysis, we investigate how semantic knowledge is acquired in English as a second language and evaluate the pace of development across a number of predicate types and content word combinations, as well as across the levels of language proficiency and native languages. Our exploratory study...
true
[]
[]
Quality Education
null
null
We are grateful to the BEA reviewers for their helpful and instructive feedback. Ekaterina Kochmar's research is supported by Cambridge English Language Assessment via the ALTA Institute. Ekaterina Shutova's research is supported by the Leverhulme Trust Early Career Fellowship.
2017
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
alfonseca-etal-2013-heady
https://aclanthology.org/P13-1122
HEADY: News headline abstraction through event pattern clustering
This paper presents HEADY: a novel, abstractive approach for headline generation from news collections. From a web-scale corpus of English news, we mine syntactic patterns that a Noisy-OR model generalizes into event descriptions. At inference time, we query the model with the patterns observed in an unseen news collec...
false
[]
[]
null
null
null
The research leading to these results has received funding from: the EU's 7 th Framework Programme (FP7/2007-2013) under grant agreement number 257790; the Spanish Ministry of Science and Innovation's project Holopedia (TIN2010-21128-C02); and the Regional Government of Madrid's MA2VICMR (S2009/TIC1542). We would like ...
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gupta-etal-2014-text
https://aclanthology.org/S14-1010
Text Summarization through Entailment-based Minimum Vertex Cover
Sentence Connectivity is a textual characteristic that may be incorporated intelligently for the selection of sentences of a well meaning summary. However, the existing summarization methods do not utilize its potential fully. The present paper introduces a novel method for singledocument text summarization. It poses t...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wilson-wiebe-2003-annotating
https://aclanthology.org/W03-2102
Annotating Opinions in the World Press
In this paper we present a detailed scheme for annotating expressions of opinions, beliefs, emotions, sentiment and speculation (private states) in the news and other discourse. We explore inter-annotator agreement for individual private state expressions, and show that these low-level annotations are useful for produc...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
biju-etal-2022-input
https://aclanthology.org/2022.findings-acl.4
Input-specific Attention Subnetworks for Adversarial Detection
Self-attention heads are characteristic of Transformer models and have been well studied for interpretability and pruning. In this work, we demonstrate an altogether different utility of attention heads, namely for adversarial detection. Specifically, we propose a method to construct input-specific attention subnetwork...
false
[]
[]
null
null
null
We thank Samsung and IITM Pravartak for supporting our work through their joint fellowship program. We also wish to thank the anonymous reviewers for their efforts in evaluating our work and providing us with constructive feedback.
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gonzalez-etal-2012-graphical
https://aclanthology.org/P12-3024
A Graphical Interface for MT Evaluation and Error Analysis
Error analysis in machine translation is a necessary step in order to investigate the strengths and weaknesses of the MT systems under development and allow fair comparisons among them. This work presents an application that shows how a set of heterogeneous automatic metrics can be used to evaluate a test bed of automa...
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This research has been partially funded by the Spanish Ministry of Education and Science (OpenMT-2, TIN2009-14675-C03) and the European Community's Seventh Framework Programme under grant agreement numbers 247762 (FAUST project, FP7- ICT-2009-4-247762) and 247914 (MOLTO project, FP7- ICT-2009-4-247914).
2012
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false
nishiguchi-2010-ccg
https://aclanthology.org/Y10-1057
CCG of Japanese Sentence-final Particles
The aim of this paper is to provide formalization of Japanese sentence-final particles in the framework of Combinatory Categorial Grammar (CCG) (Steedman 1996, 2000, Szabolcsi 1987). While certain amount of literature has discussed the descriptive meaning of Japanese sentence-final particles (Takubo and Kinsui 1997, Ch...
false
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2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yangarber-etal-2002-unsupervised
https://aclanthology.org/C02-1154
Unsupervised Learning of Generalized Names
null
false
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[]
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2002
false
false
false
false
false
false
false
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false
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false
false
false
ravichandran-hovy-2002-learning
https://aclanthology.org/P02-1006
Learning surface text patterns for a Question Answering System
In this paper we explore the power of surface text patterns for open-domain question answering systems. In order to obtain an optimal set of patterns, we have developed a method for learning such patterns automatically. A tagged corpus is built from the Internet in a bootstrapping process by providing a few hand-crafte...
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This work was supported by the Advanced Research and Development Activity (ARDA)'s Advanced Question Answering for Intelligence (AQUAINT) Program under contract number MDA908-02-C-0007.
2002
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false
false
false
false
false
false
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false
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false
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false
false
false
hahn-powell-etal-2017-swanson
https://aclanthology.org/P17-4018
Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph
We introduce a modular approach for literature-based discovery consisting of a machine reading and knowledge assembly component that together produce a graph of influence relations (e.g., "A promotes B") from a collection of publications. A search engine is used to explore direct and indirect influence chains. Query re...
true
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Industry, Innovation and Infrastructure
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This work was funded by the DARPA Big Mechanism program under ARO contract W911NF-14-1-0395 and by the Bill and Melinda Gates Foundation HBGDki Initiative. The authors declare a financial interest in lum.ai, which licenses the intellectual property involved in this research. This interest has been properly disclosed to...
2017
false
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true
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false
berwick-1980-computational
https://aclanthology.org/P80-1014
Computational Analogues of Constraints on Grammars: A Model of Syntactic Acquisition
A principal goal of modern linguistics is to account for the apparently rapid and uniform acquisition of syntactic knowledge, given the relatively impoverished input that evidently serves as the basis for the induction of that knowledge -the so-called projection problem. At least since Chomsky, the usual response to th...
false
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null
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null
1980
false
false
false
false
false
false
false
false
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false
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false
false
false
false
false
false
conlon-evens-1992-computers
https://aclanthology.org/C92-4190
Can Computers Handle Adverbs?
The adverb is the most complicated, and perhaps also the most interesting part of speech. Past research in natural language processing, however, has not dealt seriously with adverbs, though linguists have done significant work on this word class. The current paper draws on this linguistic research to organize an adverb...
false
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null
1992
false
false
false
false
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false
false
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false
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false
false
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false
false
czulo-etal-2020-beyond
https://aclanthology.org/2020.framenet-1.1
Beyond lexical semantics: notes on pragmatic frames
FrameNets as an incarnation of frame semantics have been set up to deal with lexicographic issues (cf. Fillmore and Baker 2010, among others). They are thus concerned with lexical units (LUs) and conceptual structures which categorize these together. These lexically-evoked frames, however, generally do not reflect prag...
false
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[]
null
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null
Research presented in this paper is funded by CAPES/PROBRAL and DAAD PPP Programs, under the grant numbers 88887.144043/2017-00 and 57390800, respectively.
2020
false
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false
false
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false
false
lison-bibauw-2017-dialogues
https://aclanthology.org/W17-5546
Not All Dialogues are Created Equal: Instance Weighting for Neural Conversational Models
Neural conversational models require substantial amounts of dialogue data to estimate their parameters and are therefore usually learned on large corpora such as chat forums, Twitter discussions or movie subtitles. These corpora are, however, often challenging to work with, notably due to their frequent lack of turn se...
false
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2017
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false
false
wu-etal-2022-generating
https://aclanthology.org/2022.acl-long.190
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Natural language processing models often exploit spurious correlations between taskindependent features and labels in datasets to perform well only within the distributions they are trained on, while not generalising to different task distributions. We propose to tackle this problem by generating a debiased version of ...
false
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The authors would like to thank Max Bartolo, Alexis Ross, Doug Downey, Jesse Dodge, Pasquale Minervini, and Sebastian Riedel for their helpful discussion and feedback.
2022
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yildiz-etal-2014-constructing
https://aclanthology.org/P14-2019
Constructing a Turkish-English Parallel TreeBank
In this paper, we report our preliminary efforts in building an English-Turkish parallel treebank corpus for statistical machine translation. In the corpus, we manually generated parallel trees for about 5,000 sentences from Penn Treebank. English sentences in our set have a maximum of 15 tokens, including punctuation....
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2014
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rosner-etal-2014-modeling
http://www.lrec-conf.org/proceedings/lrec2014/pdf/321_Paper.pdf
Modeling and evaluating dialog success in the LAST MINUTE corpus
The LAST MINUTE corpus comprises records and transcripts of naturalistic problem solving dialogs between N = 130 subjects and a companion system simulated in a Wizard of Oz experiment. Our goal is to detect dialog situations where subjects might break up the dialog with the system which might happen when the subject is...
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The presented study is performed in the framework of the Transregional Collaborative Research Centre SFB/TRR 62 "A Companion-Technology for Cognitive Technical Systems" funded by the German Research Foundation (DFG). The responsibility for the content of this paper lies with the authors.
2014
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false
sahlgren-etal-2021-basically
https://aclanthology.org/2021.nodalida-main.39
It's Basically the Same Language Anyway: the Case for a Nordic Language Model
When is it beneficial for a research community to organize a broader collaborative effort on a topic, and when should we instead promote individual efforts? In this opinion piece, we argue that we are at a stage in the development of large-scale language models where a collaborative effort is desirable, despite the fac...
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2021
false
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false
lee-bryant-2002-contextual
https://aclanthology.org/C02-1124
Contextual Natural Language Processing and DAML for Understanding Software Requirements Specifications
null
true
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[]
Industry, Innovation and Infrastructure
null
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null
2002
false
false
false
false
false
false
false
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true
false
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false
yoshikawa-etal-2012-identifying
https://aclanthology.org/C12-2134
Identifying Temporal Relations by Sentence and Document Optimizations
This paper presents a temporal relation identification method optimizing relations at sentence and document levels. Temporal relation identification is to identify temporal orders between events and time expressions. Various approaches of this task have been studied through the shared tasks TempEval (Verhagen et al.
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2012
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false
yamron-etal-1994-automatic-component
https://aclanthology.org/H94-1096
The Automatic Component of the LINGSTAT Machine-Aided Translation System
LINGSTAT is an interactive machine-aided translation system designed to increase the productivity of a translator. It is aimed both at experienced users whose goal is high quality translation, and inexperienced users with little knowledge of the source whose goal is simply to extract information from foreign language t...
false
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null
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1994
false
false
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false
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false
false
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false
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false
false
nimishakavi-etal-2016-relation
https://aclanthology.org/D16-1040
Relation Schema Induction using Tensor Factorization with Side Information
Given a set of documents from a specific domain (e.g., medical research journals), how do we automatically build a Knowledge Graph (KG) for that domain? Automatic identification of relations and their schemas, i.e., type signature of arguments of relations (e.g., undergo(Patient, Surgery)), is an important first step t...
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[]
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null
Thanks to the members of MALL Lab, IISc who read our drafts and gave valuable feedback and we also thank the reviewers for their constructive reviews. This research has been supported in part by Bosch Engineering and Business Solutions and Google.
2016
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false
peters-braschler-2002-importance
http://www.lrec-conf.org/proceedings/lrec2002/pdf/163.pdf
The Importance of Evaluation for Cross-Language System Development: the CLEF Experience
The aim of the Cross-Language Evaluation Forum (CLEF) is to develop and maintain an infrastructure for the evaluation of information retrieval systems operating on European languages in both monolingual and cross-language contexts, and to create testsuites of reusable data that can be employed by system developers for ...
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We gratefully acknowledge the support of all the data providers and copyright holders:
2002
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false
stanovsky-etal-2017-integrating
https://aclanthology.org/P17-2056
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets
Previous models for the assessment of commitment towards a predicate in a sentence (also known as factuality prediction) were trained and tested against a specific annotated dataset, subsequently limiting the generality of their results. In this work we propose an intuitive method for mapping three previously annotated...
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We would like to thank the anonymous reviewers for their helpful comments. This work was supported in part by grants from the MAGNET program of the Israeli Office of the Chief Scientist (OCS) and by the German Research Foundation through the German-Israeli Project Cooperation (DIP, grant DA 1600/1-1).
2017
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ettinger-2020-bert
https://aclanthology.org/2020.tacl-1.3
What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models
Pre-training by language modeling has become a popular and successful approach to NLP tasks, but we have yet to understand exactly what linguistic capacities these pre-training processes confer upon models. In this paper we introduce a suite of diagnostics drawn from human language experiments, which allow us to ask ta...
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We would like to thank Tal Linzen, Kevin Gimpel, Yoav Goldberg, Marco Baroni, and several anon-ymous reviewers for valuable feedback on earlier versions of this paper. We also thank members of the Toyota Technological Institute at Chicago for useful discussion of these and related issues.
2020
false
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false
false
chang-1994-word
https://aclanthology.org/C94-2198
Word Class Discovery for Postprocessing Chinese Handwriting Recognition
This article presents a novel Chinese class n-gram model for contextual postprocessing of haudwriting recognition results. The word classes in the model are automatically discovered by a corpus-based simulated anuealing procedure. Three other language models, least-word, word-frequency, and the powerflfl interword char...
false
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[]
null
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null
Thanks are due to the Chinese llandwriting l.ecognilion group, ATC/CCL/ITIL] for the character recognizer, especially Y.-C. l,ai for preparing the recognition results. This paper is a partial result of the project no. 37112100 conducted by the. H'II under sponsorship of the Minister of F, conomie Affairs, R.O.C.
1994
false
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false
false
false
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false
false
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false
false
false
mccoy-1986-role
https://aclanthology.org/H86-1018
The Role of Perspective in Responding to Property Misconceptions
In order to adequately respond to misconceptions involving an object's properties, we must have a context-sensitive method for determining object similarity. Such a method is introduced here. Some of the necessary contextual information is captured by a new notion of object perspective. It is shown how object perspecti...
false
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null
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null
1986
false
false
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false
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false
false
rabinovich-etal-2017-personalized
https://aclanthology.org/E17-1101
Personalized Machine Translation: Preserving Original Author Traits
The language that we produce reflects our personality, and various personal and demographic characteristics can be detected in natural language texts. We focus on one particular personal trait of the author, gender, and study how it is manifested in original texts and in translations. We show that author's gender has a...
false
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This research was partly supported by the H2020 QT21 project (645452, Lucia Specia). We are grateful to Sergiu Nisioi for sharing the initial collection of properties of Members of the European Parliament. We also thank our anonymous reviewers for their constructive feedback.
2017
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false