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kameswara-sarma-2018-learning
https://aclanthology.org/N18-4007
Learning Word Embeddings for Data Sparse and Sentiment Rich Data Sets
This research proposal describes two algorithms that are aimed at learning word embeddings for data sparse and sentiment rich data sets. The goal is to use word embeddings adapted for domain specific data sets in downstream applications such as sentiment classification. The first approach learns word embeddings in a su...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
silfverberg-etal-2017-data
https://aclanthology.org/K17-2010
Data Augmentation for Morphological Reinflection
This paper presents the submission of the Linguistics Department of the University of Colorado at Boulder for the 2017 CoNLL-SIGMORPHON Shared Task on Universal Morphological Reinflection. The system is implemented as an RNN Encoder-Decoder. It is specifically geared toward a low-resource setting. To this end, it emplo...
false
[]
[]
null
null
null
The third author has been partly sponsored by DARPA I20 in the program Low Resource Languages for Emergent Incidents (LORELEI) issued by DARPA/I20 under Contract No. HR0011-15-C-0113.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lehmann-1981-pragmalinguistics
https://aclanthology.org/J81-3004
Pragmalinguistics Theory and Practice
"Pragmalinguistics" or the occupation with pragmatic aspects of language can be important where computational linguists or artificial intelligence researchers are concerned with natural language interfaces to computers, with modelling dialogue behavior, or the like. What speakers intend with their utterances, how heare...
false
[]
[]
null
null
null
null
1981
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aggarwal-mamidi-2017-automatic
https://aclanthology.org/P17-3012
Automatic Generation of Jokes in Hindi
When it comes to computational language generation systems, humour is a relatively unexplored domain, especially more so for Hindi (or rather, for most languages other than English). Most researchers agree that a joke consists of two main parts-the setup and the punchline, with humour being encoded in the incongruity b...
false
[]
[]
null
null
null
The authors would like to thank all the evaluators for their time and help in rating the jokes. We would also like to thank Kaveri Anuranjana for all the time she spent helping us put this work on paper.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rohanian-etal-2020-verbal
https://aclanthology.org/2020.acl-main.259
Verbal Multiword Expressions for Identification of Metaphor
Metaphor is a linguistic device in which a concept is expressed by mentioning another. Identifying metaphorical expressions, therefore, requires a non-compositional understanding of semantics. Multiword Expressions (MWEs), on the other hand, are linguistic phenomena with varying degrees of semantic opacity and their id...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gupta-etal-2021-disfl
https://aclanthology.org/2021.findings-acl.293
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering
Disfluencies is an under-studied topic in NLP, even though it is ubiquitous in human conversation. This is largely due to the lack of datasets containing disfluencies. In this paper, we present a new challenge question answering dataset, DISFL-QA, a derivative of SQUAD, where humans introduce contextual disfluencies in...
false
[]
[]
null
null
null
Constructing datasets for spoken problems. We would also like to bring attention to the fact that being a speech phenomenon, a spoken setup would have been an ideal choice for disfluencies dataset. This would have accounted for higher degree of confusion, hesitations, corrections, etc. while recalling parts of context ...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mckeown-1983-paraphrasing
https://aclanthology.org/J83-1001
Paraphrasing Questions Using Given and new information
The design and implementation of a paraphrase component for a natural language question-answering system (CO-OP) is presented. The component is used to produce a paraphrase of a user's question to the system, which is presented to the user before the question is evaluated and answered. A major point made is the role of...
false
[]
[]
null
null
null
This work was partially supported by an IBM fellowship and NSF grant MC78-08401. I would like to thank Dr. Aravind K. Joshi and Dr. Bonnie Webber for their invaluable comments on the style and content of this paper.
1983
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chiu-etal-2022-joint
https://aclanthology.org/2022.spnlp-1.5
A Joint Learning Approach for Semi-supervised Neural Topic Modeling
Topic models are some of the most popular ways to represent textual data in an interpretable manner. Recently, advances in deep generative models, specifically auto-encoding variational Bayes (AEVB), have led to the introduction of unsupervised neural topic models, which leverage deep generative models as opposed to tr...
false
[]
[]
null
null
null
AS is supported by R01MH123804, and FDV is supported by NSF IIS-1750358. All authors acknowledge insightful feedback from members of CS282 Fall 2021.
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ws-1993-acquisition
https://aclanthology.org/W93-0100
Acquisition of Lexical Knowledge from Text
null
false
[]
[]
null
null
null
null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vanni-miller-2002-scaling
http://www.lrec-conf.org/proceedings/lrec2002/pdf/306.pdf
Scaling the ISLE Framework: Use of Existing Corpus Resources for Validation of MT Evaluation Metrics across Languages
This paper describes a machine translation (MT) evaluation (MTE) research program which has benefited from the availability of two collections of source language texts and the results of processing these texts with several commercial MT engines (DARPA 1994, Doyon, Taylor, & White 1999). The methodology entails the syst...
false
[]
[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shimizu-etal-2013-constructing
https://aclanthology.org/2013.iwslt-papers.3
Constructing a speech translation system using simultaneous interpretation data
There has been a fair amount of work on automatic speech translation systems that translate in real-time, serving as a computerized version of a simultaneous interpreter. It has been noticed in the field of translation studies that simultaneous interpreters perform a number of tricks to make the content easier to under...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
uehara-thepkanjana-2014-called
https://aclanthology.org/Y14-1016
The So-called Person Restriction of Internal State Predicates in Japanese in Contrast with Thai
Internal state predicates or ISPs refer to internal states of sentient beings, such as emotions, sensations and thought processes. Japanese ISPs with zero pronouns exhibit the "person restriction" in that the zero form of their subjects must be first person at the utterance time. This paper examines the person restrict...
false
[]
[]
null
null
null
This research work is partially supported by a Grant-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (No. 24520416) awarded to the first author and the Ratchadaphiseksomphot Endowment Fund of Chulalongkorn University (RES560530179-HS) awarded to the second author.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-etal-2021-system
https://aclanthology.org/2021.autosimtrans-1.4
System Description on Automatic Simultaneous Translation Workshop
This paper shows our submission on the second automatic simultaneous translation workshop at NAACL2021. We participate in all the two directions of Chinese-to-English translation, Chinese audio→English text and Chinese text→English text. We do data filtering and model training techniques to get the best BLEU score and ...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
oflazer-1995-error
https://aclanthology.org/1995.iwpt-1.24
Error-tolerant Finite State Recognition
Error-tolerant recognition enables the recognition of strings that deviate slightly fro� any string in the regular set recognized by the underlying finite state recognizer. In the context of natural language processing, it has applications in error-tolerant morphological analysis, and spe�g correction. After a descript...
false
[]
[]
null
null
null
This research was supported in part by a NATO Science for Stability Project Grant TU-LANGUAGE. I would like to thank Xerox Advanced Document Systems, and Lauri Karttunen of Xerox Pare and of Rank Xerox Research Centre (Grenoble) for providing us with the two-level transducer development software. Kemal Olku and Kurtulu...
1995
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mangeot-2014-motamot
http://www.lrec-conf.org/proceedings/lrec2014/pdf/128_Paper.pdf
Mot\`aMot project: conversion of a French-Khmer published dictionary for building a multilingual lexical system
Economic issues related to the information processing techniques are very important. The development of such technologies is a major asset for developing countries like Cambodia and Laos, and emerging ones like Vietnam, Malaysia and Thailand. The MotAMot project aims to computerize an under-resourced language: Khmer, s...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
francopoulo-etal-2016-providing
https://aclanthology.org/W16-4711
Providing and Analyzing NLP Terms for our Community
By its own nature, the Natural Language Processing (NLP) community is a priori the best equipped to study the evolution of its own publications, but works in this direction are rare and only recently have we seen a few attempts at charting the field. In this paper, we use the algorithms, resources, standards, tools and...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
goldberg-elhadad-2007-svm
https://aclanthology.org/P07-1029
SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking
We study the issue of porting a known NLP method to a language with little existing NLP resources, specifically Hebrew SVM-based chunking. We introduce two SVM-based methods-Model Tampering and Anchored Learning. These allow fine grained analysis of the learned SVM models, which provides guidance to identify errors in ...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hendrix-1982-natural
https://aclanthology.org/J82-2002
Natural-Language Interface
A major problem faced by would-be users of computer systems is that computers generally make use of special-purpose languages familiar only to those trained in computer science. For a large number of applications requiring interaction between humans and computer systems, it would be highly desirable for machines to con...
false
[]
[]
null
null
null
null
1982
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
irvine-etal-2014-american
http://www.lrec-conf.org/proceedings/lrec2014/pdf/914_Paper.pdf
The American Local News Corpus
We present the American Local News Corpus (ALNC), containing over 4 billion words of text from 2, 652 online newspapers in the United States. Each article in the corpus is associated with a timestamp, state, and city. All 50 U.S. states and 1, 924 cities are represented. We detail our method for taking daily snapshots ...
false
[]
[]
null
null
null
We would like to thank the creators of the Newspaper Map website for providing us with their database of U.S. newspapers. This material is based on research sponsored by DARPA under contract HR0011-09-1-0044 and by the Johns Hopkins University Human Language Technology Center of Excellence. The views and conclusions co...
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wissing-etal-2004-spoken
http://www.lrec-conf.org/proceedings/lrec2004/pdf/71.pdf
A Spoken Afrikaans Language Resource Designed for Research on Pronunciation Variations
In this contribution, the design, collection, annotation and planned distribution of a new spoken language resource of Afrikaans (SALAR) is discussed. The corpus contains speech of mother tongue speakers of Afrikaans, and is intended to become a primary national language resource for phonetic research and research on p...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lu-paladini-adell-2012-beyond
https://aclanthology.org/2012.amta-commercial.10
Beyond MT: Source Content Quality and Process Automation
This document introduces the strategy implemented at CA Technologies to exploit Machine Translation (MT) at the corporate-wide level. We will introduce the different approaches followed to further improve the quality of the output of the machine translation engine once the engines have reached a maximum level of custom...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2018-towards-less
https://aclanthology.org/D18-1297
Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method
Sequence-to-sequence neural generation models have achieved promising performance on short text conversation tasks. However, they tend to generate generic/dull responses, leading to unsatisfying dialogue experience. We observe that in conversation tasks, each query could have multiple responses, which forms a 1-ton or ...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ide-suderman-2009-bridging
https://aclanthology.org/W09-3004
Bridging the Gaps: Interoperability for GrAF, GATE, and UIMA
This paper explores interoperability for data represented using the Graph Annotation Framework (GrAF) (Ide and Suderman, 2007) and the data formats utilized by two general-purpose annotation systems: the General Architecture for Text Engineering (GATE) (Cunningham, 2002) and the Unstructured Information Management Arch...
false
[]
[]
null
null
null
This work was supported by an IBM UIMA Innovation Award and National Science Foundation grant INT-0753069.
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nangia-bowman-2019-human
https://aclanthology.org/P19-1449
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark
The GLUE benchmark (Wang et al., 2019b) is a suite of language understanding tasks which has seen dramatic progress in the past year, with average performance moving from 70.0 at launch to 83.9, state of the art at the time of writing (May 24, 2019). Here, we measure human performance on the benchmark, in order to lear...
false
[]
[]
null
null
null
This work was made possible in part by a donation to NYU from Eric and Wendy Schmidt made by recommendation of the Schmidt Futures program and by funding from Samsung Research. We gratefully acknowledge the support of NVIDIA Corporation with the donation of a Titan V GPU used at NYU for this research. We thank Alex Wan...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
heyer-etal-1990-knowledge
https://aclanthology.org/C90-3073
Knowledge Representation and Semantics in a Complex Domain: The UNIX Natural Language Help System GOETHE
Natural language help systems for complex domains requirc, in our view, an integration of semantic representation and knowledge base in order to adequately and efficiently deal with cognitively misconceived user input ut. We present such an integration by way of the notiml of a frame-semae~tics that has been implemente...
false
[]
[]
null
null
null
null
1990
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhou-etal-2022-hierarchical
https://aclanthology.org/2022.findings-acl.170
Hierarchical Recurrent Aggregative Generation for Few-Shot NLG
Large pretrained models enable transfer learning to low-resource domains for language generation tasks. However, previous end-to-end approaches do not account for the fact that some generation sub-tasks, specifically aggregation and lexicalisation, can benefit from transfer learning to different extents. To exploit the...
false
[]
[]
null
null
null
null
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-etal-2021-employing
https://aclanthology.org/2021.rocling-1.30
Employing low-pass filtered temporal speech features for the training of ideal ratio mask in speech enhancement
x [n] x m [n] m m m D × 1 M X = [ 0 1 ... M −1 ], D × M
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hempelmann-etal-2005-evaluating
https://aclanthology.org/W05-0211
Evaluating State-of-the-Art Treebank-style Parsers for Coh-Metrix and Other Learning Technology Environments
This paper evaluates a series of freely available, state-of-the-art parsers on a standard benchmark as well as with respect to a set of data relevant for measuring text cohesion. We outline advantages and disadvantages of existing technologies and make recommendations. Our performance report uses traditional measures b...
true
[]
[]
Quality Education
null
null
This research was funded by Institute for Educations Science Grant IES R3056020018-02. Any opinions, findings, and conclusions or recommendations expressed in this article are those of the authors and do not necessarily reflect the views of the IES. We are grateful to Philip M. McCarthy for his assistance in preparing ...
2005
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
roark-etal-2009-deriving
https://aclanthology.org/D09-1034
Deriving lexical and syntactic expectation-based measures for psycholinguistic modeling via incremental top-down parsing
A number of recent publications have made use of the incremental output of stochastic parsers to derive measures of high utility for psycholinguistic modeling, following the work of Hale (2001; 2003; 2006). In this paper, we present novel methods for calculating separate lexical and syntactic surprisal measures from a ...
false
[]
[]
null
null
null
Thanks to Michael Collins, John Hale and Shravan Vasishth for valuable discussions about this work. This research was supported in part by NSF Grant #BCS-0826654. Any opinions, findings, conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the...
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
su-etal-1989-smoothing
https://aclanthology.org/O89-1010
Smoothing Statistic Databases in a Machine Translation System
null
false
[]
[]
null
null
null
null
1989
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
raake-2002-content
http://www.lrec-conf.org/proceedings/lrec2002/pdf/107.pdf
Does the Content of Speech Influence its Perceived Sound Quality?
From a user's perspective, the speech quality of modern telecommunication systems often differs from that of traditional wireline telephone systems. One aspect is a changed sound of the interlocutor's voice-introduced by an expansion of the transmissionbandwidth to wide-band, by low-bitrate coding and/or by the acousti...
false
[]
[]
null
null
null
This work has been carried out at the Institute of Communication Acoustics, Ruhr-University Bochum (Prof. J. Blauert, PD. U. Jekosch). It was performed in the framework of a PROCOPE co-operation with the LMA, CNRS, Marseille, France (Dr. G. Canévet). The author would like to thank U. Jekosch, S. Möller and S. Schaden f...
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
duan-etal-2012-twitter
https://aclanthology.org/C12-1047
Twitter Topic Summarization by Ranking Tweets using Social Influence and Content Quality
In this paper, we propose a time-line based framework for topic summarization in Twitter. We summarize topics by sub-topics along time line to fully capture rapid topic evolution in Twitter. Specifically, we rank and select salient and diversified tweets as a summary of each sub-topic. We have observed that ranking twe...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
goodman-1985-repairing
https://aclanthology.org/P85-1026
Repairing Reference Identification Failures by Relaxation
The goal of thls work is the enrichment of human-machlne mteractIons in a natural language
false
[]
[]
null
null
null
null
1985
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bruce-wiebe-1998-word
https://aclanthology.org/W98-1507
Word-Sense Distinguishability and Inter-Coder Agreement
It. is common in NLP that the categories into which text is classified do not have fully objective definitions. Examples of such categories are lexical distinctions such as part-of-speech tags and wordsense distinctions, sentence level distinctions such as phrase attachment, and discourse level distinct.icms such as to...
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lauscher-etal-2018-investigating
https://aclanthology.org/D18-1370
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models
Exponential growth in the number of scientific publications yields the need for effective automatic analysis of rhetorical aspects of scientific writing. Acknowledging the argumentative nature of scientific text, in this work we investigate the link between the argumentative structure of scientific publications and rhe...
false
[]
[]
null
null
null
This research was partly funded by the German Research Foundation (DFG), grant number EC 477/5-1 (LOC-DB). We thank our four annotators for their dedicated annotation effort and the anonymous reviewers for constructive and insightful comments.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
martschat-strube-2015-latent
https://aclanthology.org/Q15-1029
Latent Structures for Coreference Resolution
Machine learning approaches to coreference resolution vary greatly in the modeling of the problem: while early approaches operated on the mention pair level, current research focuses on ranking architectures and antecedent trees. We propose a unified representation of different approaches to coreference resolution in t...
false
[]
[]
null
null
null
This work has been funded by the Klaus Tschira Foundation, Heidelberg, Germany. The first author has been supported by a HITS PhD scholarship. We thank the anonymous reviewers and our colleagues Benjamin Heinzerling, Yufang Hou and Nafise Moosavi for feedback on earlier drafts of this paper. Furthermore, we are gratefu...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
muller-2020-pymmax2
https://aclanthology.org/2020.law-1.16
pyMMAX2: Deep Access to MMAX2 Projects from Python
pyMMAX2 is an API for processing MMAX2 stand-off annotation data in Python. It provides a lightweight basis for the development of code which opens up the Java-and XML-based ecosystem of MMAX2 for more recent, Python-based NLP and data science methods. While pyMMAX2 is pure Python, and most functionality is implemented...
false
[]
[]
null
null
null
The work described in this paper was done as part of the project DeepCurate, which is funded by the German Federal Ministry of Education and Research (BMBF) (No. 031L0204) and the Klaus Tschira Foundation, Heidelberg, Germany. We thank the anonymous reviewers for their helpful suggestions.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bhattasali-etal-2018-processing
https://aclanthology.org/W18-4904
Processing MWEs: Neurocognitive Bases of Verbal MWEs and Lexical Cohesiveness within MWEs
Multiword expressions have posed a challenge in the past for computational linguistics since they comprise a heterogeneous family of word clusters and are difficult to detect in natural language data. In this paper, we present a fMRI study based on language comprehension to provide neuroimaging evidence for processing ...
false
[]
[]
null
null
null
This material is based upon work supported by the National Science Foundation under Grant No. 1607441.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
farrow-dzikovska-2009-context
https://aclanthology.org/W09-1502
Context-Dependent Regression Testing for Natural Language Processing
Regression testing of natural language systems is problematic for two main reasons: component input and output is complex, and system behaviour is context-dependent. We have developed a generic approach which solves both of these issues. We describe our regression tool, CONTEST, which supports context-dependent testing...
false
[]
[]
null
null
null
This work has been supported in part by Office of Naval Research grant N000140810043. We thank Charles Callaway for help with generation and tutoring tests.
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
manuvinakurike-etal-2018-conversational
https://aclanthology.org/W18-5033
Conversational Image Editing: Incremental Intent Identification in a New Dialogue Task
We present "conversational image editing", a novel real-world application domain combining dialogue, visual information, and the use of computer vision. We discuss the importance of dialogue incrementality in this task, and build various models for incremental intent identification based on deep learning and traditiona...
false
[]
[]
null
null
null
This work was supported by a generous gift of Adobe Systems Incorporated to USC/ICT, and the first author's internship at Adobe Research. The first and last authors were also funded by the U.S. Army Research Laboratory. Statements and opinions expressed do not necessarily reflect the position or policy of the U.S. Gove...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
roth-2017-role
https://aclanthology.org/W17-6934
Role Semantics for Better Models of Implicit Discourse Relations
Predicting the structure of a discourse is challenging because relations between discourse segments are often implicit and thus hard to distinguish computationally. I extend previous work to classify implicit discourse relations by introducing a novel set of features on the level of semantic roles. My results demonstra...
false
[]
[]
null
null
null
This research was supported in part by the Cluster of Excellence "Multimodal Computing and Interaction" of the German Excellence Initiative, and a DFG Research Fellowship (RO 4848/1-1).
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yamaguchi-etal-2021-frustratingly
https://aclanthology.org/2021.emnlp-main.249
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
Masked language modeling (MLM), a selfsupervised pretraining objective, is widely used in natural language processing for learning text representations. MLM trains a model to predict a random sample of input tokens that have been replaced by a [MASK] placeholder in a multi-class setting over the entire vocabulary. When...
false
[]
[]
null
null
null
NA is supported by EPSRC grant EP/V055712/1, part of the European Commission CHIST-ERA programme, call 2019 XAI: Explainable Machine Learning-based Artificial Intelligence. KM is supported by Amazon through the Alexa Fellowship scheme.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
herzig-etal-2016-classifying
https://aclanthology.org/W16-3609
Classifying Emotions in Customer Support Dialogues in Social Media
Providing customer support through social media channels is gaining increasing popularity. In such a context, automatic detection and analysis of the emotions expressed by customers is important, as is identification of the emotional techniques (e.g., apology, empathy, etc.) in the responses of customer service agents....
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pighin-etal-2012-analysis
http://www.lrec-conf.org/proceedings/lrec2012/pdf/337_Paper.pdf
An Analysis (and an Annotated Corpus) of User Responses to Machine Translation Output
We present an annotated resource consisting of open-domain translation requests, automatic translations and user-provided corrections collected from casual users of the translation portal http://reverso.net. The layers of annotation provide: 1) quality assessments for 830 correction suggestions for translations into En...
false
[]
[]
null
null
null
This research has been partially funded by the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement numbers 247762 (FAUST project, FP7-ICT-2009-4-247762) and 247914 (MOLTO project, FP7-ICT-2009-4-247914) and by the Spanish Ministry of Education and Science (OpenMT-2, TIN2009-14675-C03)...
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yonezaki-enomoto-1980-database
https://aclanthology.org/C80-1032
Database System Based on Intensional Logic
Model theoretic semantics of database systems is studied. As Rechard Montague has done in his work, 5 we translate statements of DDL and DML into intensional logic and the latter is interpreted with reference to a suitable model. Major advantages of its approach include (i) it leads itself to the design of database sys...
false
[]
[]
null
null
null
Our thanks are due to Mr. Kenichi Murata for fruitful discussions and encouragement and to Prof. Takuya Katayama and many other people whose ideas we have unwittingly absorbed over the years.
1980
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wing-baldridge-2011-simple
https://aclanthology.org/P11-1096
Simple supervised document geolocation with geodesic grids
We investigate automatic geolocation (i.e. identification of the location, expressed as latitude/longitude coordinates) of documents. Geolocation can be an effective means of summarizing large document collections and it is an important component of geographic information retrieval. We describe several simple supervise...
false
[]
[]
null
null
null
This research was supported by a grant from the Morris Memorial Trust Fund of the New York Community Trust and from the Longhorn Innovation Fund for Technology. This paper benefited from reviewer comments and from discussion in the Natural Language Learning reading group at UT Austin, with particular thanks to Matt Lea...
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schulz-etal-2020-named
https://aclanthology.org/2020.lrec-1.553
Named Entities in Medical Case Reports: Corpus and Experiments
We present a new corpus comprising annotations of medical entities in case reports, originating from PubMed Central's open access library. In the case reports, we annotate cases, conditions, findings, factors and negation modifiers. Moreover, where applicable, we annotate relations between these entities. As such, this...
true
[]
[]
Good Health and Well-Being
null
null
The research presented in this article is funded by the German Federal Ministry of Education and Research (BMBF) through the project QURATOR (Unternehmen Region, Wachstumskern, grant no. 03WKDA1A), see http://qurator. ai. We want to thank our medical experts for their help annotating the data set, especially Ashlee Fin...
2020
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nakashole-mitchell-2014-language
https://aclanthology.org/P14-1095
Language-Aware Truth Assessment of Fact Candidates
This paper introduces FactChecker, language-aware approach to truth-finding. FactChecker differs from prior approaches in that it does not rely on iterative peer voting, instead it leverages language to infer believability of fact candidates. In particular, FactChecker makes use of linguistic features to detect if a gi...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
We thank members of the NELL team at CMU for their helpful comments. This research was supported by DARPA under contract number FA8750-13-2-0005.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
gu-etal-2022-phrase
https://aclanthology.org/2022.acl-long.444
Phrase-aware Unsupervised Constituency Parsing
Recent studies have achieved inspiring success in unsupervised grammar induction using masked language modeling (MLM) as the proxy task. Despite their high accuracy in identifying low-level structures, prior arts tend to struggle in capturing high-level structures like clauses, since the MLM task usually only requires ...
false
[]
[]
null
null
null
Research was supported in part by US DARPA KAIROS Program No. FA8750-19-2-1004, So-cialSim Program No. W911NF-17-C-0099, and INCAS Program No. HR001121C0165, National Science Foundation IIS-19-56151, IIS-17-41317, and IIS 17-04532, IBM-Illinois Discovery Accelerator Institute, and the Molecule Maker Lab Institute: An A...
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lagarda-casacuberta-2008-applying
https://aclanthology.org/2008.eamt-1.14
Applying boosting to statistical machine translation
Boosting is a general method for improving the accuracy of a given learning algorithm under certain restrictions. In this work, AdaBoost, one of the most popular boosting algorithms, is adapted and applied to statistical machine translation. The appropriateness of this technique in this scenario is evaluated on a real ...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
darwish-etal-2014-verifiably
https://aclanthology.org/D14-1154
Verifiably Effective Arabic Dialect Identification
Several recent papers on Arabic dialect identification have hinted that using a word unigram model is sufficient and effective for the task. However, most previous work was done on a standard fairly homogeneous dataset of dialectal user comments. In this paper, we show that training on the standard dataset does not gen...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
miranda-etal-2018-multilingual
https://aclanthology.org/D18-1483
Multilingual Clustering of Streaming News
Clustering news across languages enables efficient media monitoring by aggregating articles from multilingual sources into coherent stories. Doing so in an online setting allows scalable processing of massive news streams. To this end, we describe a novel method for clustering an incoming stream of multilingual documen...
false
[]
[]
null
null
null
We would like to thank Esma Balkır, Nikos Papasarantopoulos, Afonso Mendes, Shashi Narayan and the anonymous reviewers for their feedback. This project was supported by the European H2020 project SUMMA, grant agreement 688139 (see http://www.summa-project.eu) and by a grant from Bloomberg.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
popowich-etal-1997-lexicalist
https://aclanthology.org/1997.tmi-1.9
A lexicalist approach to the translation of colloquial text
Colloquial English (CE) as found in television programs or typical conversations is different than text found in technical manuals, newspapers and books. Phrases tend to be shorter and less sophisticated. In this paper, we look at some of the theoretical and implementational issues involved in translating CE. We presen...
false
[]
[]
null
null
null
null
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
stajner-popovic-2018-improving
https://aclanthology.org/W18-7006
Improving Machine Translation of English Relative Clauses with Automatic Text Simplification
This article explores the use of automatic sentence simplification as a preprocessing step in neural machine translation of English relative clauses into grammatically complex languages. Our experiments on English-to-Serbian and Englishto-German translation show that this approach can reduce technical post-editing effo...
false
[]
[]
null
null
null
Acknowledgements: This research was supported by the ADAPT Centre for Digital Content Technology at Dublin City University, funded under the Science Foundation Ireland Research Centres Programme (Grant 13/RC/2106) and co-
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jansen-etal-2018-worldtree
https://aclanthology.org/L18-1433
WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference
Developing methods of automated inference that are able to provide users with compelling human-readable justifications for why the answer to a question is correct is critical for domains such as science and medicine, where user trust and detecting costly errors are limiting factors to adoption. One of the central barri...
true
[]
[]
Quality Education
null
null
null
2018
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
skantze-etal-2013-exploring
https://aclanthology.org/W13-4029
Exploring the effects of gaze and pauses in situated human-robot interaction
In this paper, we present a user study where a robot instructs a human on how to draw a route on a map, similar to a Map Task. This setup has allowed us to study user reactions to the robot's conversational behaviour in order to get a better understanding of how to generate utterances in incremental dialogue systems. W...
false
[]
[]
null
null
null
Gabriel Skantze is supported by the Swedish research council (VR) project Incremental processing in multimodal conversational systems (2011-6237). Anna Hjalmarsson is supported by the Swedish Research Council (VR) project Classifying and deploying pauses for flow control in conversational systems . Catharine Oertel is ...
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gao-etal-2021-learning
https://aclanthology.org/2021.textgraphs-1.6
Learning Clause Representation from Dependency-Anchor Graph for Connective Prediction
Semantic representation that supports the choice of an appropriate connective between pairs of clauses inherently addresses discourse coherence, which is important for tasks such as narrative understanding, argumentation, and discourse parsing. We propose a novel clause embedding method that applies graph learning to a...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nan-etal-2020-reasoning
https://aclanthology.org/2020.acl-main.141
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Document-level relation extraction requires integrating information within and across multiple sentences of a document and capturing complex interactions between inter-sentence entities. However, effective aggregation of relevant information in the document remains a challenging research question. Existing approaches c...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their thoughtful and constructive comments. This research is supported by Ministry of Education, Singapore, under its Academic Research Fund (AcRF) Tier 2 Programme (MOE AcRF Tier 2 Award No: MOE2017-T2-1-156). Any opinions, findings and conclusions or recommendations ...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
martin-etal-2020-leveraging
https://aclanthology.org/2020.cllrd-1.5
Leveraging Non-Specialists for Accurate and Time Efficient AMR Annotation
Meaning Representations (AMRs), a syntax-free representation of phrase semantics (Banarescu et al., 2013), are useful for capturing the meaning of a phrase and reflecting the relationship between concepts that are referred to. However, annotating AMRs is time consuming and expensive. The existing annotation process req...
false
[]
[]
null
null
null
This work is partially supported by the National Science Foundation award number 1849357.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
elder-etal-2020-make
https://aclanthology.org/2020.emnlp-main.230
How to Make Neural Natural Language Generation as Reliable as Templates in Task-Oriented Dialogue
Neural Natural Language Generation (NLG) systems are well known for their unreliability. To overcome this issue, we propose a data augmentation approach which allows us to restrict the output of a network and guarantee reliability. While this restriction means generation will be less diverse than if randomly sampled, w...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their helpful comments. This research is supported by Science Foundation Ireland in the ADAPT Centre for Digital Content Technology. The ADAPT Centre for Digital Content Technology is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the Europ...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nagesh-2015-exploring
https://aclanthology.org/N15-2006
Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks
Information Extraction (IE) has become an indispensable tool in our quest to handle the data deluge of the information age. IE can broadly be classified into Named-entity Recognition (NER) and Relation Extraction (RE). In this thesis, we view the task of IE as finding patterns in unstructured data, which can either tak...
false
[]
[]
null
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
iosif-etal-2012-associative
http://www.lrec-conf.org/proceedings/lrec2012/pdf/536_Paper.pdf
Associative and Semantic Features Extracted From Web-Harvested Corpora
We address the problem of automatic classification of associative and semantic relations between words, and particularly those that hold between nouns. Lexical relations such as synonymy, hypernymy/hyponymy, constitute the fundamental types of semantic relations. Associative relations are harder to define, since they i...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sayeed-etal-2012-grammatical
https://aclanthology.org/N12-1085
Grammatical structures for word-level sentiment detection
Existing work in fine-grained sentiment analysis focuses on sentences and phrases but ignores the contribution of individual words and their grammatical connections. This is because of a lack of both (1) annotated data at the word level and (2) algorithms that can leverage syntactic information in a principled way. We ...
false
[]
[]
null
null
null
This paper is based upon work supported by the US National Science Foundation under Grant IIS-0729459. Additional support came from the Cluster of Excellence "Multimodal Computing and Innovation", Germany. Jordan Boyd-Graber is also supported by US National Science Foundation Grant NSF grant #1018625 and the Army Resea...
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
feng-2003-cooperative
https://aclanthology.org/N03-3010
Cooperative model-based language understanding
In this paper, we propose a novel Cooperative Model for natural language understanding in a dialogue system. We build this based on both Finite State Model (FSM) and Statistical Learning Model (SLM). FSM provides two strategies for language understanding and have a high accuracy but little robustness and flexibility. S...
false
[]
[]
null
null
null
The author would like to thank Deepak Ravichandran for his invaluable help of the whole work.
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
romanov-etal-2019-adversarial
https://aclanthology.org/N19-1088
Adversarial Decomposition of Text Representation
In this paper, we present a method for adversarial decomposition of text representation. This method can be used to decompose a representation of an input sentence into several independent vectors, each of them responsible for a specific aspect of the input sentence. We evaluate the proposed method on two case studies:...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
reeves-1982-terminology
https://aclanthology.org/1982.tc-1.12
Terminology for translators
Should a technical translator be a subject specialist with additional linguistic skills? Or a trained linguist with some specialist knowledge? It is an old debate and plainly in practice successful translators can derive from both categories. Indeed in the past entry into the profession was often largely determined by ...
false
[]
[]
null
null
null
null
1982
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yusupov-kuratov-2018-nips
https://aclanthology.org/C18-1312
NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager
We present bot#1337: a dialog system developed for the 1 st NIPS Conversational Intelligence Challenge 2017 (ConvAI). The aim of the competition was to implement a bot capable of conversing with humans based on a given passage of text. To enable conversation, we implemented a set of skills for our bot, including chitch...
false
[]
[]
null
null
null
We thank Mikhail Burtsev, Luiza Sayfullina and Mikhail Pavlov for comments that greatly improved the manuscript. We would also like to thank the Reason8.ai company for providing computational resources and grant for NIPS 2017 ticket. We thank Neural Systems and Deep Learning Lab of MIPT for ideas and support.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
trawinski-2003-licensing
https://aclanthology.org/W03-1813
Licensing Complex Prepositions via Lexical Constraints
In this paper, we will investigate a cross-linguistic phenomenon referred to as complex prepositions (CPs), which is a frequent type of multiword expressions (MWEs) in many languages. Based on empirical data, we will point out the problems of the traditional treatment of CPs as complex lexical categories, and, thus, pr...
false
[]
[]
null
null
null
I would like to thank Manfred Sailer, Frank Richter, and the anonymous reviewers of the ACL-2003 Workshop on Multiword Expressions: Analysis, Acquisition and Treatment in Sapporo for their interesting comments on the issue presented in this paper and Carmella Payne for help with English.
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yeniterzi-oflazer-2010-syntax
https://aclanthology.org/P10-1047
Syntax-to-Morphology Mapping in Factored Phrase-Based Statistical Machine Translation from English to Turkish
We present a novel scheme to apply factored phrase-based SMT to a language pair with very disparate morphological structures. Our approach relies on syntactic analysis on the source side (English) and then encodes a wide variety of local and non-local syntactic structures as complex structural tags which appear as addi...
false
[]
[]
null
null
null
We thank Joakim Nivre for providing us with the parser. This publication was made possible by the generous support of the Qatar Foundation through Carnegie Mellon University's Seed Research program. The statements made herein are solely the responsibility of the authors.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-etal-2012-whitepaper
https://aclanthology.org/W12-4401
Whitepaper of NEWS 2012 Shared Task on Machine Transliteration
Transliteration is defined as phonetic translation of names across languages. Transliteration of Named Entities (NEs) is necessary in many applications, such as machine translation, corpus alignment, cross-language IR, information extraction and automatic lexicon acquisition. All such systems call for high-performance ...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lee-lee-2014-postech
https://aclanthology.org/W14-1709
POSTECH Grammatical Error Correction System in the CoNLL-2014 Shared Task
This paper describes the POSTECH grammatical error correction system. Various methods are proposed to correct errors such as rule-based, probability n-gram vector approaches and router-based approach. Google N-gram count corpus is used mainly as the correction resource. Correction candidates are extracted from NUCLE tr...
false
[]
[]
null
null
null
This research was supported by the MSIP(The Ministry of Science, ICT and Future Planning), Korea and Microsoft Research, under IT/SW Creative research program supervised by the NIPA(National IT Industry Promotion Agency) (NIPA-2013-H0503-13-1006) and this research was supported by the Basic Science Research Program thr...
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aoki-yamamoto-2007-opinion
https://aclanthology.org/Y07-1007
Opinion Extraction based on Syntactic Pieces
This paper addresses a task of opinion extraction from given documents and its positive/negative classification. We propose a sentence classification method using a notion of syntactic piece. Syntactic piece is a minimum unit of structure, and is used as an alternative processing unit of n-gram and whole tree structure...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
junczys-dowmunt-grundkiewicz-2016-phrase
https://aclanthology.org/D16-1161
Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction
In this work, we study parameter tuning towards the M 2 metric, the standard metric for automatic grammar error correction (GEC) tasks. After implementing M 2 as a scorer in the Moses tuning framework, we investigate interactions of dense and sparse features, different optimizers, and tuning strategies for the CoNLL-20...
false
[]
[]
null
null
null
The authors would like to thank Colin Cherry for his help with Batch Mira hyper-parameters and Kenneth Heafield for many helpful comments and discussions. This work was partially funded by the Polish National Science Centre (Grant No. 2014/15/N/ST6/02330) and by Facebook. The views and conclusions contained herein are ...
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
childs-etal-1998-coreference
https://aclanthology.org/X98-1010
Coreference Resolution Strategies From an Application Perspective
As part of our TIPSTER III research program, we have continued our research into strategies to resolve coreferences within a free text document; this research was begun during our TIPSTER II research program. In the TIPSTER II Proceedings paper, "An Evaluation of Coreference Resolution Strategies for Acquiring Associat...
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
costa-jussa-etal-2020-multilingual
https://aclanthology.org/2020.cl-2.1
Multilingual and Interlingual Semantic Representations for Natural Language Processing: A Brief Introduction
We introduce the Computational Linguistics special issue on Multilingual and Interlingual Semantic Representations for Natural Language Processing. We situate the special issue's five articles in the context of our fast-changing field, explaining our motivation for this project. We offer a brief summary of the work in ...
false
[]
[]
null
null
null
We thank Kyle Lo for assistance with the S2ORC data. MRC is supported in part by a Google Faculty Research Award 2018, Spanish Ministerio de Economía y Competitividad, the European Regional Development Fund and the Agencia Estatal de Investigación, through the postdoctoral senior grant Ramón y Cajal, the contract TEC20...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kotlerman-etal-2012-sentence
https://aclanthology.org/S12-1005
Sentence Clustering via Projection over Term Clusters
This paper presents a novel sentence clustering scheme based on projecting sentences over term clusters. The scheme incorporates external knowledge to overcome lexical variability and small corpus size, and outperforms common sentence clustering methods on two reallife industrial datasets.
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
clodfelder-2003-lsa
https://aclanthology.org/W03-0319
An LSA Implementation Against Parallel Texts in French and English
This paper presents the results of applying the Latent Semantic Analysis (LSA) methodology to a small collection of parallel texts in French and English. The goal of the analysis was to determine what the methodology might reveal regarding the difficulty level of either the machinetranslation (MT) task or the text-alig...
false
[]
[]
null
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
suglia-etal-2020-compguesswhat
https://aclanthology.org/2020.acl-main.682
CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning
Approaches to Grounded Language Learning typically focus on a single task-based final performance measure that may not depend on desirable properties of the learned hidden representations, such as their ability to predict salient attributes or to generalise to unseen situations. To remedy this, we present GROLLA, an ev...
false
[]
[]
null
null
null
We thank Arash Eshghi and Yonatan Bisk for fruitful discussions in the early stages of the project.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
grishman-ksiezyk-1990-causal
https://aclanthology.org/C90-3023
Causal and Temporal Text Analysis: The Role of the Domain Model
It is generally recognized that interpreting natural language input may require access to detailed knowledge of the domain involved. This is particularly tree for multi-sentence discourse, where we must not only analyze the individual sentences but also establish the connections between them. Simple semantic constraint...
false
[]
[]
null
null
null
This research was supported by the Defense Advazlced Research Projects Agency under Contract N00014-85-K-0163 from the Office of Naval Research.
1990
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
seyffarth-2019-modeling
https://aclanthology.org/W19-1003
Modeling the Induced Action Alternation and the Caused-Motion Construction with Tree Adjoining Grammar (TAG) and Semantic Frames
The induced action alternation and the caused-motion construction are two phenomena that allow English verbs to be interpreted as motion-causing events. This is possible when a verb is used with a direct object and a directional phrase, even when the verb does not lexically signify causativity or motion, as in "Sylvia ...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wilks-1976-semantics
https://aclanthology.org/1976.earlymt-1.20
Semantics and world knowledge in MT
I presented very simple and straightforward paragraphs from recent newspapers to show that even t h e most congenial real t e x t s require, for their translation, sume notions of Inference, knowledge, and what 1 call "preferenrules", 'in 1974, I wm t for a year to the Institute for Semantic and Cognitive Studieq in Sw...
false
[]
[]
null
null
null
null
1976
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
di-marco-navigli-2013-clustering
https://aclanthology.org/J13-3008
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction
Web search result clustering aims to facilitate information search on the Web. Rather than the results of a query being presented as a flat list, they are grouped on the basis of their similarity and subsequently shown to the user as a list of clusters. Each cluster is intended to represent a different meaning of the i...
false
[]
[]
null
null
null
The authors gratefully acknowledge the support of the ERC Starting Grant MultiJEDI no. 259234
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lisowska-underwood-2006-rote
http://www.lrec-conf.org/proceedings/lrec2006/pdf/187_pdf.pdf
ROTE: A Tool to Support Users in Defining the Relative Importance of Quality Characteristics
This paper describes the Relative Ordering Tool for Evaluation (ROTE) which is designed to support the process of building a parameterised quality model for evaluation. It is a very simple tool which enables users to specify the relative importance of quality characteristics (and associated metrics) to reflect the user...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
xiao-guo-2012-multi
https://aclanthology.org/C12-1174
Multi-View AdaBoost for Multilingual Subjectivity Analysis
Subjectivity analysis has received increasing attention in natural language processing field. Most of the subjectivity analysis works however are conducted on single languages. In this paper, we propose to perform multilingual subjectivity analysis by combining multi-view learning and AdaBoost techniques. We aim to sho...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
maxwell-2015-accounting
https://aclanthology.org/W15-4809
Accounting for Allomorphy in Finite-state Transducers
Building morphological parsers with existing finite state toolkits can result in something of a mis-match between the programming language of the toolkit and the linguistic concepts familiar to the average linguist. We illustrate this mismatch with a particular linguistic construct, suppletive allomorphy, and discuss w...
false
[]
[]
null
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nilsson-etal-2007-generalizing
https://aclanthology.org/P07-1122
Generalizing Tree Transformations for Inductive Dependency Parsing
Previous studies in data-driven dependency parsing have shown that tree transformations can improve parsing accuracy for specific parsers and data sets. We investigate to what extent this can be generalized across languages/treebanks and parsers, focusing on pseudo-projective parsing, as a way of capturing non-projecti...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liang-etal-2021-iterative-multi
https://aclanthology.org/2021.findings-emnlp.152
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) mainly involves three subtasks: aspect term extraction, opinion term extraction, and aspect-level sentiment classification, which are typically handled in a separate or joint manner. However, previous approaches do not well exploit the interactive relations among three subtasks an...
false
[]
[]
null
null
null
The research work descried in this paper has been supported by the National Key R&D Program of China (2019YFB1405200) and the National Nature Science Foundation of China (No. 61976015, 61976016, 61876198 and 61370130). The authors would like to thank the anonymous reviewers for their valuable comments and suggestions t...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shi-etal-2021-neural
https://aclanthology.org/2021.emnlp-main.298
Neural Natural Logic Inference for Interpretable Question Answering
Many open-domain question answering problems can be cast as a textual entailment task, where a question and candidate answers are concatenated to form hypotheses. A QA system then determines if the supporting knowledge bases, regarded as potential premises, entail the hypotheses. In this paper, we investigate a neural-...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their constructive comments, and gratefully acknowledge the support of the National Key Research and Development Program of China (2020AAA0106501), and the National Natural Science Foundation of China (61976073).
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schofield-mehr-2016-gender
https://aclanthology.org/W16-0204
Gender-Distinguishing Features in Film Dialogue
Film scripts provide a means of examining generalized western social perceptions of accepted human behavior. In particular, we focus on how dialogue in films describes gender, identifying linguistic and structural differences in speech for men and women and in same and different-gendered pairs. Using the Cornell Movie-...
false
[]
[]
null
null
null
We thank C. Danescu-Niculescu-Mizil, L. Lee, D. Mimno, J. Hessel, and the members of the NLP and Social Interaction course at Cornell for their support and ideas in developing this paper. We thank the workshop chairs and our anonymous reviewers for their thoughtful comments and suggestions.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hying-2007-corpus
https://aclanthology.org/W07-1601
A Corpus-Based Analysis of Geometric Constraints on Projective Prepositions
This paper presents a corpus-based method for automatic evaluation of geometric constraints on projective prepositions. The method is used to find an appropriate model of geometric constraints for a twodimensional domain. Two simple models are evaluated against the uses of projective prepositions in a corpus of natural...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
goutte-etal-2004-aligning
https://aclanthology.org/P04-1064
Aligning words using matrix factorisation
Aligning words from sentences which are mutual translations is an important problem in different settings, such as bilingual terminology extraction, Machine Translation, or projection of linguistic features. Here, we view word alignment as matrix factorisation. In order to produce proper alignments, we show that factor...
false
[]
[]
null
null
null
We acknowledge the Machine Learning group at XRCE for discussions related to the topic of word alignment. We would like to thank the three anonymous reviewers for their comments.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schulte-im-walde-2010-comparing
http://www.lrec-conf.org/proceedings/lrec2010/pdf/632_Paper.pdf
Comparing Computational Models of Selectional Preferences - Second-order Co-Occurrence vs. Latent Semantic Clusters
This paper presents a comparison of three computational approaches to selectional preferences: (i) an intuitive distributional approach that uses second-order co-occurrence of predicates and complement properties; (ii) an EM-based clustering approach that models the strengths of predicate-noun relationships by latent s...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nightingale-tanaka-2003-comparing
https://aclanthology.org/W03-0321
Comparing the Sentence Alignment Yield from Two News Corpora Using a Dictionary-Based Alignment System
null
false
[]
[]
null
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
noklestad-softeland-2007-tagging
https://aclanthology.org/W07-2436
Tagging a Norwegian Speech Corpus
This paper describes work on the grammatical tagging of a newly created Norwegian speech corpus: the first corpus of modern Norwegian speech. We use an iterative procedure to perform computer-aided manual tagging of a part of the corpus. This material is then used to train the final taggers, which are applied to the re...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nikulasdottir-etal-2018-open
https://aclanthology.org/L18-1495
Open ASR for Icelandic: Resources and a Baseline System
Developing language resources is an important task when creating a speech recognition system for a less-resourced language. In this paper we describe available language resources and their preparation for use in a large vocabulary speech recognition (LVSR) system for Icelandic. The content of a speech corpus is analyse...
false
[]
[]
null
null
null
The project Open ASR for Icelandic was supported by the Icelandic Language Technology Fund (ILTF).
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-ng-2013-beam
https://aclanthology.org/N13-1050
A Beam-Search Decoder for Normalization of Social Media Text with Application to Machine Translation
Social media texts are written in an informal style, which hinders other natural language processing (NLP) applications such as machine translation. Text normalization is thus important for processing of social media text. Previous work mostly focused on normalizing words by replacing an informal word with its formal f...
false
[]
[]
null
null
null
We thank all the anonymous reviewers for their comments which have helped us improve this paper. This research is supported by the Singapore National Research Foundation under its International Research Centre @ Singapore Funding Initiative and administered by the IDM Programme Office.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hazarika-etal-2018-conversational
https://aclanthology.org/N18-1193
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos
Emotion recognition in conversations is crucial for the development of empathetic machines. Present methods mostly ignore the role of inter-speaker dependency relations while classifying emotions in conversations. In this paper, we address recognizing utterance-level emotions in dyadic conversational videos. We propose...
false
[]
[]
null
null
null
This research was supported in part by the National Natural Science Foundation of China under Grant no. 61472266 and by the National University of Singapore (Suzhou) Research Institute, 377 Lin Quan Street, Suzhou Industrial Park, Jiang Su, People's Republic of China, 215123.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jin-1991-translation
https://aclanthology.org/1991.mtsummit-papers.14
Translation Accuracy and Translation Efficiency
ULTRA (Universal Language Translator) is a multi-lingua] bidirectional translation system between English, Spanish, German, Japanese and Chinese. It employs an interlingua] structure to translate among these five languages. An interlingual representation is used as a deep structure through which any pair of these langu...
false
[]
[]
null
null
null
null
1991
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gene-2021-post
https://aclanthology.org/2021.triton-1.22
The Post-Editing Workflow: Training Challenges for LSPs, Post-Editors and Academia
Language technology is already largely adopted by most Language Service Providers (LSPs) and integrated into their traditional translation processes. In this context, there are many different approaches to applying Post-Editing (PE) of a machine translated text, involving different workflow processes and steps that can...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
quasthoff-wolff-2000-flexible
http://www.lrec-conf.org/proceedings/lrec2000/pdf/226.pdf
A Flexible Infrastructure for Large Monolingual Corpora
In this paper we describe a flexible and portable infrastructure for setting up large monolingual language corpora. The approach is based on collecting a large amount of monolingual text from various sources. The input data is processed on the basis of a sentencebased text segmentation algorithm. We describe the entry ...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false