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rinsche-2004-ltc
https://aclanthology.org/2004.eamt-1.18
LTC Communicator -- a web-based e-communication tool
Software vendors operating in international markets face two problems: first, products must be localised to meet the requirements of each target country; then there is the need to support diverse customers, where end-users may not speak the same language as the helpdesk. Localisation (new versions of screens, help text...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mehri-eskenazi-2021-gensf
https://aclanthology.org/2021.sigdial-1.51
GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot Filling
In transfer learning, it is imperative to achieve strong alignment between a pre-trained model and a downstream task. Prior work has done this by proposing task-specific pre-training objectives, which sacrifices the inherent scalability of the transfer learning paradigm. We instead achieve strong alignment by simultane...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ustun-etal-2019-cross
https://aclanthology.org/R19-1140
Cross-Lingual Word Embeddings for Morphologically Rich Languages
Cross-lingual word embedding models learn a shared vector space for two or more languages so that words with similar meaning are represented by similar vectors regardless of their language. Although the existing models achieve high performance on pairs of morphologically simple languages, they perform very poorly on mo...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
antoine-1996-parsing
https://aclanthology.org/C96-1010
Parsing spoken language without syntax
Parsing spontaneous speech is a difficult task because of the ungrammatical nature of most spoken utterances. To overpass this problem, we propose in this paper to handle the spoken language without considering syntax. We describe thus a microsemantic parser which is uniquely based on an associative network of semantic...
false
[]
[]
null
null
null
null
1996
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chiang-etal-1995-robust
https://aclanthology.org/J95-3002
Robust Learning, Smoothing, and Parameter Tying on Syntactic Ambiguity Resolution
Statistical approaches to natural language processing generally obtain the parameters by using the maximum likelihood estimation (MLE) method. The MLE approaches, however, may fail to achieve good performance in difficult tasks, because the discrimination and robustness issues are not taken into consideration in the es...
false
[]
[]
null
null
null
This research is supported by the R.O.C. National Science Council under NSC 82-0408-E-007-059 project. We would like to thank the Behavior Design Corporation (BDC) for providing us with the parsed corpus. Jing-Shin Chang has given valuable suggestions for writing this paper, in particular for the comparison with Brisco...
1995
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gerber-etal-2010-open
https://aclanthology.org/W10-0906
Open-domain Commonsense Reasoning Using Discourse Relations from a Corpus of Weblog Stories
We present a method of extracting opendomain commonsense knowledge by applying discourse parsing to a large corpus of personal stories written by Internet authors. We demonstrate the use of a linear-time, joint syntax/discourse dependency parser for this purpose, and we show how the extracted discourse relations can be...
false
[]
[]
null
null
null
The authors would like to thank the anonymous reviewers for their helpful comments and suggestions. The project or effort described here has been sponsored by the U.S. Army Research, Development, and Engineering Command (RDECOM). Statements and opinions expressed do not necessarily reflect the position or the policy of...
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
martin-1991-conventional
https://aclanthology.org/W91-0206
Conventional Metaphor and the Lexicon
Metaphor and other forms of non-literal language are essential parts of language which have direct bearing on theories of lexical semantics. Neither narrow theories of lexical semantics, nor theories relying solely on world knowledge are sufficient to account for our ability to generate and interpret non-literal langua...
false
[]
[]
null
null
null
null
1991
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
park-etal-2021-blames
https://aclanthology.org/2021.findings-acl.358
Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text
Understanding who blames or supports whom in news text is a critical research question in computational social science. Traditional methods and datasets for sentiment analysis are, however, not suitable for the domain of political text as they do not consider the direction of sentiments expressed between entities. In t...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
We thank anonymous reviewers for their valuable comments. This work was supported by NSF SBE/SMA #1831848 "RIDIR: Integrated Communication Database and Computational Tools".
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
lee-etal-1990-logic
https://aclanthology.org/O90-1003
A Logic-based Temporal Knowledge Representation in Mandarin Chinese
null
false
[]
[]
null
null
null
null
1990
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hellman-etal-2020-multiple
https://aclanthology.org/2020.bea-1.3
Multiple Instance Learning for Content Feedback Localization without Annotation
Automated Essay Scoring (AES) can be used to automatically generate holistic scores with reliability comparable to human scoring. In addition, AES systems can provide formative feedback to learners, typically at the essay level. In contrast, we are interested in providing feedback specialized to the content of the essa...
false
[]
[]
null
null
null
We would like to thank Alok Baikadi, Julio Bradford, Jill Budden, Amy Burkhardt, Dave Farnham, Andrew Gorman and Jorge Roccatagliata for their efforts in collecting the annotated dataset used in this work.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
stanojevic-simaan-2014-beer
https://aclanthology.org/W14-3354
BEER: BEtter Evaluation as Ranking
We present the UvA-ILLC submission of the BEER metric to WMT 14 metrics task. BEER is a sentence level metric that can incorporate a large number of features combined in a linear model. Novel contributions are (1) efficient tuning of a large number of features for maximizing correlation with human system ranking, and (...
false
[]
[]
null
null
null
This work is supported by STW grant nr. 12271 and NWO VICI grant nr. 277-89-002.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ruangrajitpakorn-etal-2009-syntactic
https://aclanthology.org/W09-3414
A Syntactic Resource for Thai: CG Treebank
This paper presents Thai syntactic resource: Thai CG treebank, a categorial approach of language resources. Since there are very few Thai syntactic resources, we designed to create treebank based on CG formalism. Thai corpus was parsed with existing CG syntactic dictionary and LALR parser. The correct parsed trees were...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ruppenhofer-etal-2020-fine
https://aclanthology.org/2020.lrec-1.566
Fine-grained Named Entity Annotations for German Biographic Interviews
We present a fine-grained NER annotations scheme with 30 labels and apply it to German data. Building on the OntoNotes 5.0 NER inventory, our scheme is adapted for a corpus of transcripts of biographic interviews by adding categories for AGE and LAN(guage) and also adding label classes for various numeric and temporal ...
false
[]
[]
null
null
null
We would like to thank Hanna Strub for her support in performing the annotations. . and Du-Nour, M. (2004). Wir sind die Letzten.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tanaka-1995-edr
https://aclanthology.org/1995.mtsummit-1.17
The EDR Electronic Dictionary as information infrastructure
null
false
[]
[]
null
null
null
null
1995
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
devault-etal-2009-finish
https://aclanthology.org/W09-3902
Can I Finish? Learning When to Respond to Incremental Interpretation Results in Interactive Dialogue
We investigate novel approaches to responsive overlap behaviors in dialogue systems, opening possibilities for systems to interrupt, acknowledge or complete a user's utterance while it is still in progress. Our specific contributions are a method for determining when a system has reached a point of maximal understandin...
false
[]
[]
null
null
null
The project or effort described here has been sponsored by the U.S. Army Research, Development, and Engineering Command (RDECOM). Statements and opinions expressed do not necessarily reflect the position or the policy of the United States Government, and no official endorsement should be inferred. We would also like to...
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lembersky-etal-2012-adapting
https://aclanthology.org/E12-1026
Adapting Translation Models to Translationese Improves SMT
Translation models used for statistical machine translation are compiled from parallel corpora; such corpora are manually translated, but the direction of translation is usually unknown, and is consequently ignored. However, much research in Translation Studies indicates that the direction of translation matters, as tr...
false
[]
[]
null
null
null
We are grateful to Cyril Goutte, George Foster and Pierre Isabelle for providing us with an annotated version of the Hansard corpus. This research was supported by the Israel Science Foundation (grant No. 137/06) and by a grant from the Israeli Ministry of Science and Technology.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yencken-baldwin-2008-measuring
https://aclanthology.org/C08-1131
Measuring and Predicting Orthographic Associations: Modelling the Similarity of Japanese Kanji
As human beings, our mental processes for recognising linguistic symbols generate perceptual neighbourhoods around such symbols where confusion errors occur. Such neighbourhoods also provide us with conscious mental associations between symbols. This paper formalises orthographic models for similarity of Japanese kanji...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2019-knowledge-augmented
https://aclanthology.org/N19-1117
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition
Traditional language models are unable to efficiently model entity names observed in text. All but the most popular named entities appear infrequently in text providing insufficient context. Recent efforts have recognized that context can be generalized between entity names that share the same type (e.g., person or loc...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
amigo-etal-2004-empirical
https://aclanthology.org/P04-1027
An Empirical Study of Information Synthesis Task
This paper describes an empirical study of the "Information Synthesis" task, defined as the process of (given a complex information need) extracting, organizing and interrelating the pieces of information contained in a set of relevant documents, in order to obtain a comprehensive, non redundant report that satisfies t...
false
[]
[]
null
null
null
This research has been partially supported by a grant of the Spanish Government, project HERMES (TIC-2000-0335-C03-01). We are indebted to E. Hovy for his comments on an earlier version of this paper, and C. Y. Lin for his assistance with the ROUGE measure. Thanks also to our volunteers for their valuable cooperation.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
meng-etal-2022-rewire
https://aclanthology.org/2022.acl-long.329
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models
Knowledge probing is crucial for understanding the knowledge transfer mechanism behind the pre-trained language models (PLMs). Despite the growing progress of probing knowledge for PLMs in the general domain, specialised areas such as biomedical domain are vastly under-explored. To facilitate this, we release a well-cu...
true
[]
[]
Good Health and Well-Being
null
null
Nigel Collier and Zaiqiao Meng kindly acknowledges grant-in-aid support from the UK ESRC for project EPI-AI (ES/T012277/1).
2022
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vincze-2014-uncertainty
https://aclanthology.org/C14-1174
Uncertainty Detection in Hungarian Texts
Uncertainty detection is essential for many NLP applications. For instance, in information retrieval, it is of primary importance to distinguish among factual, negated and uncertain information. Current research on uncertainty detection has mostly focused on the English language, in contrast, here we present the first ...
false
[]
[]
null
null
null
This research was supported by the European Union and the State of Hungary, co-financed by the European Social Fund in the framework of TÁMOP-4.2.4.A/2-11/1-2012-0001 "National Excellence Program".
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ferret-1998-thematically-segment
https://aclanthology.org/P98-2243
How to Thematically Segment Texts by using Lexical Cohesion?
This article outlines a quantitative method for segmenting texts into thematically coherent units. This method relies on a network of lexical collocations to compute the thematic coherence of the different parts of a text from the lexical cohesiveness of their words. We also present the results of an experiment about l...
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
seon-etal-2008-information
https://aclanthology.org/W08-0803
Information extraction using finite state automata and syllable n-grams in a mobile environment
We propose an information extraction system that is designed for mobile devices with low hardware resources. The proposed system extracts temporal instances (dates and times) and named instances (locations and topics) from Korean short messages in an appointment management domain. To efficiently extract temporal instan...
false
[]
[]
null
null
null
This research (paper) was funded by Samsung Electronics.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-kordoni-2010-discriminant
https://aclanthology.org/C10-2166
Discriminant Ranking for Efficient Treebanking
Treebank annotation is a labor-intensive and time-consuming task. In this paper, we show that a simple statistical ranking model can significantly improve treebanking efficiency by prompting human annotators, well-trained in disambiguation tasks for treebanking but not necessarily grammar experts, to the most relevant ...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tatman-etal-2017-non
https://aclanthology.org/W17-2909
Non-lexical Features Encode Political Affiliation on Twitter
Previous work on classifying Twitter users' political alignment has mainly focused on lexical and social network features. This study provides evidence that political affiliation is also reflected in features which have been previously overlooked: users' discourse patterns (proportion of Tweets that are retweets or rep...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
choi-etal-1996-logical
https://aclanthology.org/Y96-1014
A Logical Structure for the Construction of Machine Readable Dictionaries
During the last 10 years, there have been many efforts in some areas of Natural Language Processing to encode the normal text or documents into machine readable form. If we encode written data using a canonical form which can be recognized by a computer, we can extract needed information and process and utilize it for ...
false
[]
[]
null
null
null
The research described here was undertaken as a part of the project 'Korea Information Base System' by the support of Ministry of Science & Technology and Ministry of Culture & Sports in Korea and the project 'Multimedia Hangeul Engineering' supported by Samsung Co..
1996
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
brody-2007-clustering
https://aclanthology.org/P07-1057
Clustering Clauses for High-Level Relation Detection: An Information-theoretic Approach
Recently, there has been a rise of interest in unsupervised detection of highlevel semantic relations involving complex units, such as phrases and whole sentences. Typically such approaches are faced with two main obstacles: data sparseness and correctly generalizing from the examples. In this work, we describe the Clu...
false
[]
[]
null
null
null
The author acknowledges the support of EPSRC grant EP/C538447/1. The author would like to thank Naftali Tishby and Mirella Lapata for their supervision and assistance on large portions of the work presented here. I would also like to thank the anonymous reviewers and my friends and colleagues for their helpful comments...
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
husain-etal-2013-towards
https://aclanthology.org/W13-3713
Towards a Psycholinguistically Motivated Dependency Grammar for Hindi
The overall goal of our work is to build a dependency grammar-based human sentence processor for Hindi. As a first step towards this end, in this paper we present a dependency grammar that is motivated by psycholinguistic concerns. We describe the components of the grammar that have been automatically induced using a H...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hassan-etal-2010-whats
https://aclanthology.org/D10-1121
What's with the Attitude? Identifying Sentences with Attitude in Online Discussions
Mining sentiment from user generated content is a very important task in Natural Language Processing. An example of such content is threaded discussions which act as a very important tool for communication and collaboration in the Web. Threaded discussions include e-mails, e-mail lists, bulletin boards, newsgroups, and...
false
[]
[]
null
null
null
This research was funded by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), through the U.S. Army Research Lab. All statements of fact, opinion or conclusions contained herein are those of the authors and should not be construed as representing the o...
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gaskill-2014-reducing
https://aclanthology.org/2014.amta-users.2
Reducing time and tedium with translation technology: the six-pound challenge
null
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
woods-fernando-2018-improving
https://aclanthology.org/W18-4709
Improving String Processing for Temporal Relations
This paper presents a refinement of the superposition operation on strings which are used to represent temporal relation information such as is found in documents annotated with TimeML. Superposition is made demonstrably more efficient by interleaving generation with testing, rather than generating and then testing. Th...
false
[]
[]
null
null
null
This research is supported by Science Foundation Ireland (SFI) through the CNGL Programme (Grant 12/CE/I2267) in the ADAPT Centre (https://www.adaptcentre.ie) at Trinity College Dublin. The ADAPT Centre for Digital Content Technology is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kehler-etal-2004-non
https://aclanthology.org/N04-1037
The (Non)Utility of Predicate-Argument Frequencies for Pronoun Interpretation
State-of-the-art pronoun interpretation systems rely predominantly on morphosyntactic contextual features. While the use of deep knowledge and inference to improve these models would appear technically infeasible, previous work has suggested that predicate-argument statistics mined from naturally-occurring data could p...
false
[]
[]
null
null
null
This work was supported by the ACE program (www.nist.gov/speech/tests/ACE/).
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sandrini-etal-2006-maximum
https://aclanthology.org/W06-2601
Maximum Entropy Tagging with Binary and Real-Valued Features
Recent literature on text-tagging reported successful results by applying Maximum Entropy (ME) models. In general, ME taggers rely on carefully selected binary features, which try to capture discriminant information from the training data. This paper introduces a standard setting of binary features, inspired by the lit...
false
[]
[]
null
null
null
This work was partially financed by the European Commission under the project FAME (IST-2000-29323), and by the Autonomous Province of Trento under the the FU-PAT project WebFaq.
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
thompson-1981-chart
https://aclanthology.org/P81-1036
Chart Parsing and Rule Schemata in PSG
MCHART is a flexible, modular chart parsing framework I have been developing (in Lisp) at Edinburgh, whose initial design characteristics were largely determined by pedagogical needs. PSG is a gr---n-tical theory developed by Gerald Gazdar at Sussex, in collaboration with others in both the US and Britain, most notably...
false
[]
[]
null
null
null
null
1981
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mutal-etal-2020-copeco
https://aclanthology.org/2020.amta-pemdt.5
COPECO: a Collaborative Post-Editing Corpus in Pedagogical Context
null
true
[]
[]
Quality Education
null
null
null
2020
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2021-ease
https://aclanthology.org/2021.newsum-1.10
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle
Current abstractive summarization systems outperform their extractive counterparts, but their widespread adoption is inhibited by the inherent lack of interpretability. Extractive summarization systems, though interpretable, suffer from redundancy and possible lack of coherence. To achieve the best of both worlds, we p...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kane-etal-2020-nubia
https://aclanthology.org/2020.evalnlgeval-1.4
NUBIA: NeUral Based Interchangeability Assessor for Text Generation
We present NUBIA, a methodology to build automatic evaluation metrics for text generation using only machine learning models as core components. A typical NUBIA model is composed of three modules: a neural feature extractor, an aggregator and a calibrator. We demonstrate an implementation of NUBIA showing competitive p...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
florian-yarowsky-1999-dynamic
https://aclanthology.org/P99-1022
Dynamic Nonlocal Language Modeling via Hierarchical Topic-Based Adaptation
This paper presents a novel method of generating and applying hierarchical, dynamic topic-based language models. It proposes and evaluates new cluster generation, hierarchical smoothing and adaptive topic-probability estimation techniques. These combined models help capture long-distance lexical dependencies. °Experime...
false
[]
[]
null
null
null
The research reported here was sponsored by National Science Foundation Grant IRI-9618874. The authors would like to thank Eric Brill, Eugene Charniak, Ciprian Chelba, Fred Jelinek, Sanjeev Khudanpur, Lidia Mangu and Jun Wu for suggestions and feedback during the progress of this work, and Andreas Stolcke for use of hi...
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
coling-2008-coling-2008
https://aclanthology.org/C08-3000
Coling 2008: Companion volume: Demonstrations
null
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-etal-2018-neural-coreference
https://aclanthology.org/P18-2017
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering
Coreference resolution aims to identify in a text all mentions that refer to the same real-world entity. The state-of-the-art endto-end neural coreference model considers all text spans in a document as potential mentions and learns to link an antecedent for each possible mention. In this paper, we propose to improve t...
false
[]
[]
null
null
null
We thank Kenton Lee and three anonymous reviewers for their helpful discussion and feedback.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
litman-forbes-riley-2004-predicting
https://aclanthology.org/P04-1045
Predicting Student Emotions in Computer-Human Tutoring Dialogues
We examine the utility of speech and lexical features for predicting student emotions in computerhuman spoken tutoring dialogues. We first annotate student turns for negative, neutral, positive and mixed emotions. We then extract acoustic-prosodic features from the speech signal, and lexical items from the transcribed ...
true
[]
[]
Quality Education
null
null
This research is supported by NSF Grants 9720359 & 0328431. Thanks to the Why2-Atlas team and S. Silliman for system design and data collection.
2004
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
zhao-etal-2019-embedding
https://aclanthology.org/D19-1669
Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition
We propose a novel tensor embedding method that can effectively extract lexical features for humor recognition. Specifically, we use wordword co-occurrence to encode the contextual content of documents, and then decompose the tensor to get corresponding vector representations. We show that this simple method can captur...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
saxon-etal-2021-modeling
https://aclanthology.org/2021.emnlp-main.153
Modeling Disclosive Transparency in NLP Application Descriptions
Broader disclosive transparency-truth and clarity in communication regarding the function of AI systems-is widely considered desirable. Unfortunately, it is a nebulous concept, difficult to both define and quantify. This is problematic, as previous work has demonstrated possible trade-offs and negative consequences to ...
false
[]
[]
null
null
null
This work was supported in part by the National Science Foundation Graduate Research Fellowship under Grant No. 1650114. We would also like to
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
udagawa-etal-2020-linguistic
https://aclanthology.org/2020.findings-emnlp.67
A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions
Recent models achieve promising results in visually grounded dialogues. However, existing datasets often contain undesirable biases and lack sophisticated linguistic analyses, which make it difficult to understand how well current models recognize their precise linguistic structures. To address this problem, we make tw...
false
[]
[]
null
null
null
This work was supported by JSPS KAKENHI Grant Number 18H03297 and NEDO SIP-2 "Bigdata and AI-enabled Cyberspace Technologies." We also thank the anonymous reviewers for their valuable suggestions and comments.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sazzed-2021-hybrid
https://aclanthology.org/2021.ranlp-1.144
A Hybrid Approach of Opinion Mining and Comparative Linguistic Analysis of Restaurant Reviews
The existing research on sentiment analysis mainly utilized data curated in limited geographical regions and demography (e.g., USA, UK, China) due to commercial interest and availability of review data. Since the user's attitudes and preferences can be affected by numerous sociocultural factors and demographic characte...
false
[]
[]
null
null
null
The author likes to thank Md. Samiul Basir Tasin and MD Shafin Islam Rudro for collecting BanglaRestaurant review data. The conference registration fee was supported by the ISAB VISA Scholarship of Old Dominion University.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2021-quadrupletbert
https://aclanthology.org/2021.naacl-main.292
QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval
The embedding-based large-scale querydocument retrieval problem is a hot topic in the information retrieval (IR) field. Considering that pre-trained language models like BERT have achieved great success in a wide variety of NLP tasks, we present a Quadru-pletBERT model for effective and efficient retrieval in this pape...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ircing-etal-2017-combining
https://aclanthology.org/W17-5021
Combining Textual and Speech Features in the NLI Task Using State-of-the-Art Machine Learning Techniques
We summarize the involvement of our CEMI team in the "NLI Shared Task 2017", which deals with both textual and speech input data. We submitted the results achieved by using three different system architectures; each of them combines multiple supervised learning models trained on various feature sets. As expected, bette...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
richardson-kuhn-2012-light
https://aclanthology.org/C12-2098
Light Textual Inference for Semantic Parsing
There has been a lot of recent interest in Semantic Parsing, centering on using data-driven techniques for mapping natural language to full semantic representations (Mooney, 2007). One particular focus has been on learning with ambiguous supervision (Chen and Mooney, 2008; Kim and Mooney, 2012), where the goal is to mo...
false
[]
[]
null
null
null
This work was funded by the Deutsche Forschungsgemeinschaft (DFG) on the project SFB 732, "Incremental Specification in Context". We thank Sina Zarriess for useful suggestions and discussions, and Annie Zaenen and Cleo Condoravdi for earlier discussions about the overall idea and method.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jin-aletras-2020-complaint
https://aclanthology.org/2020.coling-main.157
Complaint Identification in Social Media with Transformer Networks
Complaining is a speech act extensively used by humans to communicate a negative inconsistency between reality and expectations. Previous work on automatically identifying complaints in social media has focused on using feature-based and task-specific neural network models. Adapting state-of-the-art pre-trained neural ...
false
[]
[]
null
null
null
Nikolaos Aletras is supported by ESRC grant ES/T012714/1.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bojar-etal-2012-joy
http://www.lrec-conf.org/proceedings/lrec2012/pdf/645_Paper.pdf
The Joy of Parallelism with CzEng 1.0
CzEng 1.0 is an updated release of our Czech-English parallel corpus, freely available for non-commercial research or educational purposes. In this release, we approximately doubled the corpus size, reaching 15 million sentence pairs (about 200 million tokens per language). More importantly, we carefully filtered the d...
false
[]
[]
null
null
null
The work on this project was supported by the project EuroMatrixPlus (FP7-ICT-2007-3-231720 of the EU and 7E09003+7E11051 of the Czech Republic), Czech Science Foundation grants P406/10/P259 and 201/09/H057, GAUK 4226/2011, 116310, and the FAUST project (FP7-ICT-2009-4-247762 of the EU and 7E11041 of the Czech Republic...
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vilain-2004-building
http://www.lrec-conf.org/proceedings/lrec2004/pdf/763.pdf
Building part-of-speech Corpora Through Histogram Hopping
This paper are concerned with lowering the cost of producing training resources for part-of-speech taggers. We focus primarily on the resource needs of unsupervised taggers, as these can be trained with simpler resources than their supervised counterparts. We introduce histogram hopping, a new approach for developing t...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhou-etal-2020-improving-candidate
https://aclanthology.org/2020.tacl-1.8
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
Cross-lingual entity linking (XEL) is the task of finding referents in a target-language knowledge base (KB) for mentions extracted from source-language texts. The first step of (X)EL is candidate generation, which retrieves a list of plausible candidate entities from the target-language KB for each mention. Approaches...
false
[]
[]
null
null
null
We would like to thank Radu Florian and the anonymous reviewers for their useful feedback. This material is based on work supported in part by the Defense Advanced Research Projects Agency Information Innovation Office (I2O) Low Resource Languages for Emergent Incidents (LORELEI) program under contract no. HR0011-15-C0...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
john-vechtomova-2017-uwat
https://aclanthology.org/W17-5235
UWat-Emote at EmoInt-2017: Emotion Intensity Detection using Affect Clues, Sentiment Polarity and Word Embeddings
This paper describes the UWaterloo affect prediction system developed for EmoInt-2017. We delve into our feature selection approach for affect intensity, affect presence, sentiment intensity and sentiment presence lexica alongside pretrained word embeddings, which are utilized to extract emotion intensity signals from ...
false
[]
[]
null
null
null
We would like to acknowledge the organizers of this shared task, Saif M. Mohammad and Felipe Bravo-Marquez for their support.We would also like to thank Saif M. Mohammad and Pierre Charron for permitting access to the NRC emotion and sentiment lexicons for this task.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
crego-marino-2006-integration
https://aclanthology.org/2006.amta-papers.4
Integration of POStag-based Source Reordering into SMT Decoding by an Extended Search Graph
This paper presents a reordering framework for statistical machine translation (SMT) where source-side reorderings are integrated into SMT decoding, allowing for a highly constrained reordered search graph. The monotone search is extended by means of a set of reordering patterns (linguistically motivated rewrite patter...
false
[]
[]
null
null
null
This work has been partially funded by the European Union under the integrated project TC-STAR -Technology and Corpora for Speech to Speech Translation -(IST-2002-FP6-506738, http://www.tc-star.org), and the Universitat Politècnica de Catalunya under UPC-RECERCA grant.
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
badr-etal-2008-segmentation
https://aclanthology.org/P08-2039
Segmentation for English-to-Arabic Statistical Machine Translation
In this paper, we report on a set of initial results for English-to-Arabic Statistical Machine Translation (SMT). We show that morphological decomposition of the Arabic source is beneficial, especially for smaller-size corpora, and investigate different recombination techniques. We also report on the use of Factored Tr...
false
[]
[]
null
null
null
We would like to thank Ali Mohammad, Michael Collins and Stephanie Seneff for their valuable comments.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gaiffe-romary-1997-constraints
https://aclanthology.org/W97-1413
Constraints on the Use of Language, Gesture and Speech for Multimodal Dialogues
In the domain of natural language understanding and more precisely manmachine dialogue design, there are usually two trends of research which seem to be rather differentiated. On the one hand, many studies have tackled the problem of interpreting spatial references expressed in verbal utterances, focusing in particular...
false
[]
[]
null
null
null
null
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
feng-etal-2021-alpha
https://aclanthology.org/2021.semeval-1.8
Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification
This paper describes our system participated in Task 6 of SemEval-2021: this task focuses on multimodal propaganda technique classification and it aims to classify given image and text into 22 classes. In this paper, we propose to use transformer-based (Vaswani et al., 2017) architecture to fuse the clues from both ima...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
pettersson-megyesi-2019-matching
https://aclanthology.org/W19-6126
Matching Keys and Encrypted Manuscripts
Historical cryptology is the study of historical encrypted messages aiming at their decryption by analyzing the mathematical, linguistic and other coding patterns and their historical context. In libraries and archives we can find quite a lot of ciphers, as well as keys describing the method used to transform the plain...
false
[]
[]
null
null
null
This work has been supported by the Swedish Research Council, grant 2018-06074: DECRYPT -Decryption of historical manuscripts.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bjorkelund-nugues-2011-exploring
https://aclanthology.org/W11-1905
Exploring Lexicalized Features for Coreference Resolution
In this paper, we describe a coreference solver based on the extensive use of lexical features and features extracted from dependency graphs of the sentences. The solver uses Soon et al. (2001)'s classical resolution algorithm based on a pairwise classification of the mentions. We applied this solver to the closed trac...
false
[]
[]
null
null
null
This research was supported by Vetenskapsrådet, the Swedish research council, under grant 621-2010-4800.
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
richardson-etal-2001-overcoming
https://aclanthology.org/W01-1402
Overcoming the customization bottleneck using example-based MT
We describe MSR-MT, a large-scale hybrid machine translation system under development for several language pairs. This system's ability to acquire its primary translation knowledge automatically by parsing a bilingual corpus of hundreds of thousands of sentence pairs and aligning resulting logical forms demonstrates tr...
false
[]
[]
null
null
null
We would like to acknowledge the efforts of the MSR NLP group in carrying out this work.
2001
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
manino-etal-2022-systematicity
https://aclanthology.org/2022.findings-acl.185
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective
Metamorphic testing has recently been used to check the safety of neural NLP models. Its main advantage is that it does not rely on a ground truth to generate test cases. However, existing studies are mostly concerned with robustness-like metamorphic relations, limiting the scope of linguistic properties they can test....
false
[]
[]
null
null
null
The work is funded by the EPSRC grant EP/T026995/1 entitled "EnnCore: End-to-End Conceptual Guarding of Neural Architectures" under Security for all in an AI enabled society.
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zoltan-1969-problems
https://aclanthology.org/C69-5901
Some Problems of Word-Formation Within the Framework of a Generative Grammar
Word-formation has not yet received due attention in ~enerative grammars, probably becal~se it is an interim problem between that of the more-or-less clearly established ~orpho-phonological possibilities and the problem of the lexicon, which h~s not yet been worked out (re~ardin~ wor@formation see the productive attemp...
false
[]
[]
null
null
null
null
1969
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
evang-2020-configurable
https://aclanthology.org/2020.udw-1.10
Configurable Dependency Tree Extraction from CCG Derivations
We revisit the problem of extracting dependency structures from the derivation structures of Combinatory Categorial Grammar (CCG). Previous approaches are often restricted to a narrow subset of CCG or support only one flavor of dependency tree. Our approach is more general and easily configurable, so that multiple styl...
false
[]
[]
null
null
null
The author would like to thank the anonymous reviewers for helpful feedback. This research was carried out within the TreeGraSP project, funded by a Consolidator Grant of the European Research Council (ERC).
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kis-etal-2004-new
http://www.lrec-conf.org/proceedings/lrec2004/pdf/441.pdf
A New Approach to the Corpus-based Statistical Investigation of Hungarian Multi-word Lexemes
We apply statistical methods to perform automatic extraction of Hungarian collocations from corpora. Due to the complexity of Hungarian morphology, a complex resource preparation tool chain has been developed. This tool chain implements a reusable and, in principle, language independent framework. In the first part, th...
false
[]
[]
null
null
null
This work has been carried out in parallel with similar work on Dutch corpora by a joint Dutch-Hungarian research group supported by NWO-OTKA under grant number 048.011.040.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
babych-etal-2007-dynamic
https://aclanthology.org/2007.tc-1.3
A dynamic dictionary for discovering indirect translation equivalents
We present the design and evaluation of a novel software application intended to help translators with rendering problematic expressions from the general lexicon. It does this dynamically by first generalising the problem expression in the source language and then searching for possible translations in a large comparab...
false
[]
[]
null
null
null
We would like to thank the professional translators who kindly participated in our evaluation trials. This work was supported by EPSRC grant EP/C005902/1 and was conducted jointly with Paul Rayson. Olga Moudraya and Scott Piao of Lancaster University InfoLab.
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gorrell-etal-2013-finding
https://aclanthology.org/W13-5102
Finding Negative Symptoms of Schizophrenia in Patient Records
This paper reports the automatic extraction of eleven negative symptoms of schizophrenia from patient medical records. The task offers a range of difficulties depending on the consistency and complexity with which mental health professionals describe each. In order to reduce the cost of system development, rapid protot...
true
[]
[]
Good Health and Well-Being
null
null
null
2013
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
akiba-etal-2008-statistical
https://aclanthology.org/I08-2104
Statistical Machine Translation based Passage Retrieval for Cross-Lingual Question Answering
In this paper, we propose a novel approach for Cross-Lingual Question Answering (CLQA). In the proposed method, the statistical machine translation (SMT) is deeply incorporated into the question answering process, instead of using it as the pre-processing of the mono-lingual QA process as in the previous work. The prop...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pasca-harabagiu-2001-answer
https://aclanthology.org/W01-1206
Answer Mining from On-Line Documents
Mining the answer of a natural language open-domain question in a large collection of on-line documents is made possible by the recognition of the expected answer type in relevant text passages. If the technology of retrieving texts where the answer might be found is well developed, few studies have been devoted to the...
false
[]
[]
null
null
null
This research was supported in part by the Advanced Research and Development Activity (ARDA) grant 2001*H238400*000 and by the National Science Foundation CAREER grant CCR-9983600.
2001
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chang-etal-1992-statistical
https://aclanthology.org/C92-3139
A Statistical Approach to Machine Aided Translation of Terminology Banks
"l]fis paper reports on a new statistical approach to machine aided translation of terminology bank. The text in the bank is hyphenated and then dissected into roots of 1 to 3 syllables. Both hyphenation and dissection are done with a set of initial probabilities of syllables and roots. The probabilities are repeatedly...
false
[]
[]
null
null
null
This research was supported by the National Science Council, Taiwan, under Contracts NSC 81-0408-E007-13 and -529.
1992
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
handler-oconnor-2019-query
https://aclanthology.org/D19-1612
Query-focused Sentence Compression in Linear Time
Search applications often display shortened sentences which must contain certain query terms and must fit within the space constraints of a user interface. This work introduces a new transition-based sentence compression technique developed for such settings. Our query-focused method constructs length and lexically con...
false
[]
[]
null
null
null
Thanks to Javier Burroni and Nick Eubank for suggesting ways to optimize and measure performance of Python code. Thanks to Jeffrey Flanigan, Katie Keith and the UMass NLP reading group for feedback. This work was partially supported by IIS-1814955.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
viegas-etal-1998-computational-lexical
https://aclanthology.org/P98-2216
The Computational Lexical Semantics of Syntagmatic Expressions
In this paper, we address the issue of syntagmatic expressions from a computational lexical semantic perspective. From a representational viewpoint, we argue for a hybrid approach combining linguistic and conceptual paradigms, in order to account for the continuum we find in natural languages from free combining words ...
false
[]
[]
null
null
null
This work has been supported in part by DoD under contract number MDA-904-92-C-5189. We would like to thank Pierrette Bouillon, L~o Wanner and R~mi Zajac for helpful discussions and the anonymous reviewers for their useful comments.
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tanveer-ture-2018-syntaviz
https://aclanthology.org/D18-2001
SyntaViz: Visualizing Voice Queries through a Syntax-Driven Hierarchical Ontology
This paper describes SYNTAVIZ, a visualization interface specifically designed for analyzing natural-language queries that were created by users of a voice-enabled product. SYN-TAVIZ provides a platform for browsing the ontology of user queries from a syntax-driven perspective, providing quick access to highimpact fail...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pajas-stepanek-2009-system
https://aclanthology.org/P09-4009
System for Querying Syntactically Annotated Corpora
This paper presents a system for querying treebanks. The system consists of a powerful query language with natural support for cross-layer queries, a client interface with a graphical query builder and visualizer of the results, a command-line client interface, and two substitutable query engines: a very efficient engi...
false
[]
[]
null
null
null
This paper as well as the development of the system is supported by the grant Information Society of GA AVČR under contract 1ET101120503 and by the grant GAUK No. 22908.
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shwartz-etal-2017-hypernyms
https://aclanthology.org/E17-1007
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection
The fundamental role of hypernymy in NLP has motivated the development of many methods for the automatic identification of this relation, most of which rely on word distribution. We investigate an extensive number of such unsupervised measures, using several distributional semantic models that differ by context type an...
false
[]
[]
null
null
null
The authors would like to thank Ido Dagan, Alessandro Lenci, and Yuji Matsumoto for their help and advice. Vered Shwartz is partially supported by an Intel ICRI-CI grant, the Israel Science Foundation grant 880/12, and the German Research Foundation through the German-Israeli Project Cooperation (DIP, grant DA 1600/1-1...
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mendes-etal-2010-named
http://www.lrec-conf.org/proceedings/lrec2010/pdf/97_Paper.pdf
Named Entity Recognition in Questions: Towards a Golden Collection
Named Entity Recognition (NER) plays a relevant role in several Natural Language Processing tasks. Question-Answering (QA) is an example of such, since answers are frequently named entities in agreement with the semantic category expected by a given question. In this context, the recognition of named entities is usuall...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2010-transferring
https://aclanthology.org/2010.amta-papers.26
Transferring Syntactic Relations of Subject-Verb-Object Pattern in Chinese-to-Korean SMT
Since most Korean postpositions signal grammatical functions such as syntactic relations, generation of incorrect Korean postpositions results in producing ungrammatical outputs in machine translations targeting Korean. Chinese and Korean belong to morphosyntactically divergent language pairs, and usually Korean postpo...
false
[]
[]
null
null
null
This work is supported in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (MEST) (2009-0075211), in part by the BK 21 project in 2010, and in part by the POSTECH Information Research Laboratories (PIRL) project.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-etal-2021-textoir
https://aclanthology.org/2021.acl-demo.20
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
TEXTOIR is the first integrated and visualized platform for text open intent recognition. It is composed of two main modules: open intent detection and open intent discovery. Each module integrates most of the state-of-the-art algorithms and benchmark intent datasets. It also contains an overall framework connecting th...
false
[]
[]
null
null
null
This work is founded by National Key R&D Program Projects of China (Grant No: 2018YFC1707605). This work is also supported by seed fund of Tsinghua University (Department of Computer Science and Technology)-Siemens Ltd., China Joint Research Center for Industrial Intelligence and Internet of Things. We would like to th...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yang-etal-2020-streaming
https://aclanthology.org/2020.emnlp-main.366
A Streaming Approach For Efficient Batched Beam Search
We propose an efficient batching strategy for variable-length decoding on GPU architectures. During decoding, when candidates terminate or are pruned according to heuristics, our streaming approach periodically "refills" the batch before proceeding with a selected subset of candidates. We apply our method to variable-w...
false
[]
[]
null
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null
We thank Steven Cao, Daniel Fried, Nikita Kitaev, Kevin Lin, Mitchell Stern, Kyle Swanson, Ruiqi Zhong, and the three anonymous reviewers for their helpful comments and feedback, which helped us to greatly improve the paper. This work was supported by Berkeley AI Research, DARPA through the Learning with Less Labeling ...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yeung-kartsaklis-2021-ccg
https://aclanthology.org/2021.semspace-1.3
A CCG-Based Version of the DisCoCat Framework
While the DisCoCat model (Coecke et al., 2010) has been proved a valuable tool for studying compositional aspects of language at the level of semantics, its strong dependency on pregroup grammars poses important restrictions: first, it prevents large-scale experimentation due to the absence of a pregroup parser; and se...
false
[]
[]
null
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null
We would like to thank the anonymous reviewers for their useful comments. We are grateful to Steve Clark for his comments on CCG and the useful discussions on the generative power of the formalism. The paper has also greatly benefited from discussions with Alexis Toumi, Vincent Wang, Ian Fan, Harny Wang, Giovanni de Fe...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pericliev-1984-handling
https://aclanthology.org/P84-1111
Handling Syntactical Ambiguity in Machine Translation
The difficulties to be met with the resolution of syntactical ambiguity in MT can be at least partially overcome by means of preserving the syntactical ambiguity of the source language into the target language. An extensive study of the correspondences between the syntactically ambiguous structures in English and Bulga...
false
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[]
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null
1984
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wiren-1987-comparison
https://aclanthology.org/E87-1037
A Comparison of Rule-Invocation Strategies in Context-Free Chart Parsing
Currently several grammatical formalisms converge towards being declarative and towards utilizing context-free phrase-structure grammar as a backbone, e.g. LFG and PATR-II. Typically the processing of these formalisms is organized within a chart-parsing framework. The declarative character of the formalisms makes it im...
false
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[]
null
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null
I would like to thank Lars Ahrenberg, Nils Dahlb~k, Arne Jbnsson, Magnus Merkel, Ivan Rankin, and an anonymous referee for the very helpful comments they have made on various drafts of this paper. In addition I am indebted to Masaru Tomita for providing me with his test grammars and sentences, and to Martin Kay for com...
1987
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
weller-di-marco-fraser-2020-modeling
https://aclanthology.org/2020.acl-main.389
Modeling Word Formation in English--German Neural Machine Translation
This paper studies strategies to model word formation in NMT using rich linguistic information, namely a word segmentation approach that goes beyond splitting into substrings by considering fusional morphology. Our linguistically sound segmentation is combined with a method for target-side inflection to accommodate mod...
false
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[]
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null
This research was partially funded by LMU Munich's Institutional Strategy LMUexcellent within the framework of the German Excellence Initiative. This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement № 640550)...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dai-etal-2021-ultra
https://aclanthology.org/2021.acl-long.141
Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model
Recently, there is an effort to extend finegrained entity typing by using a richer and ultra-fine set of types, and labeling noun phrases including pronouns and nominal nouns instead of just named entity mentions. A key challenge for this ultra-fine entity typing task is that human annotated data are extremely scarce, ...
false
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[]
null
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null
This paper was supported by the NSFC Grant (No. U20B2053) from China, the Early Career Scheme (ECS, No. 26206717), the General Research Fund (GRF, No. 16211520), and the Research Impact Fund (RIF, from the Research Grants Council (RGC) of Hong Kong, with special thanks to the WeChat-HKUST WHAT Lab on Artificial Intelli...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
weller-heid-2012-analyzing
http://www.lrec-conf.org/proceedings/lrec2012/pdf/817_Paper.pdf
Analyzing and Aligning German compound nouns
In this paper, we present and evaluate an approach for the compositional alignment of compound nouns using comparable corpora from technical domains. The task of term alignment consists in relating a source language term to its translation in a list of target language terms with the help of a bilingual dictionary. Comp...
false
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null
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null
The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007(FP7/ -2013 under Grant Agreement n. 248005.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
poesio-vieira-1998-corpus
https://aclanthology.org/J98-2001
A Corpus-based Investigation of Definite Description Use
We present the results of a study of the use of definite descriptions in written texts aimed at assessing the feasibility of annotating corpora with information about definite description interpretation. We ran two experiments, in which subjects were asked to classi~ the uses of definite descriptions in a corpus of 33 ...
false
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[]
null
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null
We wish to thank Jean Carletta for much help both with designing the experiments and with the analysis of the results. We are also grateful to Ellen Bard, Robin Cooper, Kari Fraurud, Janet Hitzeman, Kjetil Strand, and our anonymous reviewers for many helpful comments. Massimo Poesio holds an Advanced Research Fellowshi...
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
seonwoo-etal-2021-weakly
https://aclanthology.org/2021.findings-acl.62
Weakly Supervised Pre-Training for Multi-Hop Retriever
In multi-hop QA, answering complex questions entails iterative document retrieval for finding the missing entity of the question. The main steps of this process are sub-question detection, document retrieval for the subquestion, and generation of a new query for the final document retrieval. However, building a dataset...
false
[]
[]
null
null
null
This work was partly supported by NAVER Corp. and Institute for Information & communications Technology Planning & Evaluation(IITP) grant funded by the Korean government(MSIT) (No. 2017-0-01780, The technology development for event recognition/relational reasoning and learning knowledge based system for video understan...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
barnes-etal-2016-exploring
https://aclanthology.org/C16-1152
Exploring Distributional Representations and Machine Translation for Aspect-based Cross-lingual Sentiment Classification.
Cross-lingual sentiment classification (CLSC) seeks to use resources from a source language in order to detect sentiment and classify text in a target language. Almost all research into CLSC has been carried out at sentence and document level, although this level of granularity is often less useful. This paper explores...
false
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[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
van-kuppevelt-1993-intentionality
https://aclanthology.org/W93-0236
Intentionality in a Topical Approach of Discourse Structure
Position paper The alternative to be outlined provides a proposal to solve a central problem in research on discourse structure and discourse coherence, namely, as pointed out by many authors, that of the relationship between linguistic and intentional structure, or, in other words, between subject matter and presentat...
false
[]
[]
null
null
null
null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2021-improving-factual
https://aclanthology.org/2021.ecnlp-1.19
Improving Factual Consistency of Abstractive Summarization on Customer Feedback
E-commerce stores collect customer feedback to let sellers learn about customer concerns and enhance customer order experience. Because customer feedback often contains redundant information, a concise summary of the feedback can be generated to help sellers better understand the issues causing customer dissatisfaction...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
abnar-etal-2018-experiential
https://aclanthology.org/W18-0107
Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity
We evaluate 8 different word embedding models on their usefulness for predicting the neural activation patterns associated with concrete nouns. The models we consider include an experiential model, based on crowd-sourced association data, several popular neural and distributional models, and a model that reflects the s...
true
[]
[]
Good Health and Well-Being
null
null
null
2018
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
buechel-etal-2019-time
https://aclanthology.org/D19-5103
A Time Series Analysis of Emotional Loading in Central Bank Statements
We examine the affective content of central bank press statements using emotion analysis. Our focus is on two major international players, the European Central Bank (ECB) and the US Federal Reserve Bank (Fed), covering a time span from 1998 through 2019. We reveal characteristic patterns in the emotional dimensions of ...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their detailed and constructive comments.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
le-nagard-koehn-2010-aiding
https://aclanthology.org/W10-1737
Aiding Pronoun Translation with Co-Reference Resolution
We propose a method to improve the translation of pronouns by resolving their coreference to prior mentions. We report results using two different co-reference resolution methods and point to remaining challenges.
false
[]
[]
null
null
null
This work was supported by the EuroMatrixPlus project funded by the European Commission (7th Framework Programme).
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-etal-2019-expanding
https://aclanthology.org/W19-7415
Expanding English and Chinese Dictionaries by Wikipedia Titles
This paper introduces our preliminary work in dictionary expansion by adding English and Chinese Wikipedia titles along with their linguistic features. Parts-of-speech of Chinese titles are determined by the majority of heads of their Wikipedia categories. Proper noun detection in English Wikipedia is done by checking ...
false
[]
[]
null
null
null
This research was funded by the Taiwan Ministry of Science and Technology (grant: MOST 106-2221-E-019-072.)
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bashier-etal-2021-disk
https://aclanthology.org/2021.eacl-main.263
DISK-CSV: Distilling Interpretable Semantic Knowledge with a Class Semantic Vector
Neural networks (NN) applied to natural language processing (NLP) are becoming deeper and more complex, making them increasingly difficult to understand and interpret. Even in applications of limited scope on fixed data, the creation of these complex "black-boxes" creates substantial challenges for debugging, understan...
false
[]
[]
null
null
null
We acknowledge support from the Alberta Machine Intelligence Institute (AMII), from the Computing Science Department of the University of Alberta, and the Natural Sciences and Engineering Research Council of Canada (NSERC).
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
belyaev-etal-2021-digitizing
https://aclanthology.org/2021.iwclul-1.7
Digitizing print dictionaries using TEI: The Abaev Dictionary Project
We present the results of a year-long effort to create an electronic version of V. I. Abaev's Historical-etymological dictionary of Ossetic. The aim of the project is twofold: first, to create an English translation of the dictionary; second, to provide it (in both its Russian and English version) with a semantic marku...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dybkjaer-dybkjaer-2006-act
http://www.lrec-conf.org/proceedings/lrec2006/pdf/471_pdf.pdf
Act-Topic Patterns for Automatically Checking Dialogue Models
When dialogue models are evaluated today, this is normally done by using some evaluation method to collect data, often involving users interacting with the system model, and then subsequently analysing the collected data. We present a tool called DialogDesigner that enables automatic evaluation performed directly on th...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhou-etal-2016-evaluating
https://aclanthology.org/L16-1104
Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing
Greedy transition-based parsers are appealing for their very fast speed, with reasonably high accuracies. In this paper, we build a fast shift-reduce neural constituent parser by using a neural network to make local decisions. One challenge to the parsing speed is the large hidden and output layer sizes caused by the n...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
krahmer-van-der-sluis-2003-new
https://aclanthology.org/W03-2307
A New Model for Generating Multimodal Referring Expressions
null
false
[]
[]
null
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yang-etal-2014-towards
https://aclanthology.org/W14-4104
Towards Identifying the Resolvability of Threads in MOOCs
One important function of the discussion forums of Massive Open Online Courses (MOOCs) is for students to post problems they are unable to resolve and receive help from their peers and instructors. There are a large proportion of threads that are not resolved to the satisfaction of the students for various reasons. In ...
true
[]
[]
Quality Education
null
null
This research was funded in part by NSF grants IIS-1320064 and OMA-0836012 and funding from Google.
2014
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
li-nenkova-2014-reducing
https://aclanthology.org/W14-4327
Reducing Sparsity Improves the Recognition of Implicit Discourse Relations
The earliest work on automatic detection of implicit discourse relations relied on lexical features. More recently, researchers have demonstrated that syntactic features are superior to lexical features for the task. In this paper we reexamine the two classes of state of the art representations: syntactic production ru...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false