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qi-etal-2018-universal
https://aclanthology.org/K18-2016
Universal Dependency Parsing from Scratch
This paper describes Stanford's system at the CoNLL 2018 UD Shared Task. We introduce a complete neural pipeline system that takes raw text as input, and performs all tasks required by the shared task, ranging from tokenization and sentence segmentation, to POS tagging and dependency parsing. Our single system submissi...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sirai-1992-syntactic
https://aclanthology.org/C92-4172
Syntactic Constraints on Relativization in Japanese
This paper discusses the formalization of relative clauses in Japanese based on JPSG framework. We characterize them as adjuncts to nouns, and formalize them in terms of constraints among grammatical features. Furthermore, we claim that there is a constraint on the number of slash elements and show the supporting facts...
false
[]
[]
null
null
null
Acknowledgments. We are grateful to I)r. Takao Gunji, Dr. K6iti Hasida and other members of the JPSG working group at ICOT for discussion. And we thank Dr. Phillip Morrow for proofreading.
1992
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yang-1999-towards
https://aclanthology.org/1999.mtsummit-1.58
Towards the automatic acquisition of lexical selection rules
This paper is a study of a certain type of collocations and implication and application to acquisition of lexical selection rules in transfer-approach MT systems. Collocations reveal the co-occurrence possibilities of linguistic units in one language, which often require lexical selection rules to enhance the natural f...
false
[]
[]
null
null
null
The work was initiated for the Chinese-English MT system development, which has been supported in part by NAIC (National Air Force Intelligence Center). We thank Dale Bostad of NAIC for his continuous support. The SYSTRAN Chinese and Japanese development groups have contributed to the experiment and evaluation of the p...
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ruckle-etal-2021-adapterdrop
https://aclanthology.org/2021.emnlp-main.626
AdapterDrop: On the Efficiency of Adapters in Transformers
Transformer models are expensive to fine-tune, slow for inference, and have large storage requirements. Recent approaches tackle these shortcomings by training smaller models, dynamically reducing the model size, and by training lightweight adapters. In this paper, we propose AdapterDrop, removing adapters from lower t...
false
[]
[]
null
null
null
This work has received financial support from multiple sources. (1) The German Federal Ministry of
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hutchins-2012-obituary
https://aclanthology.org/J12-3001
Obituary: Victor H. Yngve
(MIT), as editor of its first journal, as designer and developer of the first non-numerical programming language (COMIT), and as an influential contributor to linguistic theory. While still completing his Ph.D. on cosmic ray physics at the University of Chicago during 1950-1953, Yngve had an idea for using the newly in...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zue-1989-acoustic
https://aclanthology.org/H89-1025
Acoustic-Phonetics Based Speech Recognition
The objective of this project is to develop a robust and high-performance speech recognitiotl system using a segment-based approach to phonetic recognition. The recognition system will eventually be integrated with natural language processing to achieve spoken lallguagc understanding. Developed a phonetic recognition f...
false
[]
[]
null
null
null
null
1989
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
riedl-biemann-2012-sweeping
https://aclanthology.org/W12-0703
Sweeping through the Topic Space: Bad luck? Roll again!
Topic Models (TM) such as Latent Dirichlet Allocation (LDA) are increasingly used in Natural Language Processing applications. At this, the model parameters and the influence of randomized sampling and inference are rarely examined-usually, the recommendations from the original papers are adopted. In this paper, we exa...
false
[]
[]
null
null
null
This work has been supported by the Hessian research excellence program "Landes-Offensive zur Entwicklung Wissenschaftlich-konomischer Exzellenz" (LOEWE) as part of the research center "Digital Humanities". We would also thank the anonymous reviewers for their comments, which greatly helped to improve the paper.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liao-grishman-2011-using
https://aclanthology.org/I11-1080
Using Prediction from Sentential Scope to Build a Pseudo Co-Testing Learner for Event Extraction
Event extraction involves the identification of instances of a type of event, along with their attributes and participants. Developing a training corpus by annotating events in text is very labor intensive, and so selecting informative instances to annotate can save a great deal of manual work. We present an active lea...
false
[]
[]
null
null
null
Supported by the Intelligence Advanced Research Projects Activity (IARPA) via Air Force Research Laboratory (AFRL) contract number FA8650-10-C-7058. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. The views and conclusion...
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chiang-etal-2008-decomposability
https://aclanthology.org/D08-1064
Decomposability of Translation Metrics for Improved Evaluation and Efficient Algorithms
B is the de facto standard for evaluation and development of statistical machine translation systems. We describe three real-world situations involving comparisons between different versions of the same systems where one can obtain improvements in B scores that are questionable or even absurd. These situations ar...
false
[]
[]
null
null
null
Our thanks go to Daniel Marcu for suggesting modifying the B brevity penalty, and to Jonathan May and Kevin Knight for their insightful comments. This research was supported in part by DARPA grant HR0011-06-C-0022 under BBN Technologies subcontract 9500008412.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vacher-etal-2014-sweet
http://www.lrec-conf.org/proceedings/lrec2014/pdf/118_Paper.pdf
The Sweet-Home speech and multimodal corpus for home automation interaction
Ambient Assisted Living aims at enhancing the quality of life of older and disabled people at home thanks to Smart Homes and Home Automation. However, many studies do not include tests in real settings, because data collection in this domain is very expensive and challenging and because of the few available data sets. ...
false
[]
[]
null
null
null
This work is part of the SWEET-HOME project founded by the French National Research Agency (Agence Nationale de la Recherche / ANR-09-VERS-011). The authors would like to thank the participants who accepted to perform the experiments. Thanks are extended to S. Humblot, S. Meignard, D. Guerin, C. Fontaine, D. Istrate, C...
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pallotta-etal-2007-user
https://aclanthology.org/P07-1127
User Requirements Analysis for Meeting Information Retrieval Based on Query Elicitation
We present a user requirements study for Question Answering on meeting records that assesses the difficulty of users questions in terms of what type of knowledge is required in order to provide the correct answer. We grounded our work on the empirical analysis of elicited user queries. We found that the majority of eli...
false
[]
[]
null
null
null
We wish to thank Martin Rajman and Hatem Ghorbel for their constant and valuable feedback. This work has been partially supported by the Swiss National Science Foundation NCCR IM2 and by the SNSF grant no. 200021-116235.
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hasan-etal-2006-reranking
https://aclanthology.org/W06-2606
Reranking Translation Hypotheses Using Structural Properties
We investigate methods that add syntactically motivated features to a statistical machine translation system in a reranking framework. The goal is to analyze whether shallow parsing techniques help in identifying ungrammatical hypotheses. We show that improvements are possible by utilizing supertagging, lightweight dep...
false
[]
[]
null
null
null
This work has been partly 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 by the R&D project TRAMES managed by Bertin Technologies as prime contractor and operated by the french DGA (Délégation ...
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gonzalez-martinez-2019-graphemic
https://aclanthology.org/W19-9001
Graphemic ambiguous queries on Arabic-scripted historical corpora
Arabic script is a multi-layered orthographic system that consists of a base of archigraphemes, roughly equivalent to the traditional so-called rasm, with several layers of diacritics. The archigrapheme represents the smallest logical unit of Arabic script; it consists of the shared features between two or more graphem...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hu-etal-2022-deep
https://aclanthology.org/2022.acl-long.123
DEEP: DEnoising Entity Pre-training for Neural Machine Translation
It has been shown that machine translation models usually generate poor translations for named entities that are infrequent in the training corpus. Earlier named entity translation methods mainly focus on phonetic transliteration, which ignores the sentence context for translation and is limited in domain and language ...
false
[]
[]
null
null
null
This work was supported in part by a grant from the Singapore Defence Science and Technology Agency.
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
stewart-etal-2018-si
https://aclanthology.org/N18-2022
Si O No, Que Penses? Catalonian Independence and Linguistic Identity on Social Media
Political identity is often manifested in language variation, but the relationship between the two is still relatively unexplored from a quantitative perspective. This study examines the use of Catalan, a language local to the semi-autonomous region of Catalonia in Spain, on Twitter in discourse related to the 2017 ind...
false
[]
[]
null
null
null
We thank Sandeep Soni, Umashanthi Pavalanathan, our anonymous reviewers, and members of Georgia Tech's Computational Social Science class for their feedback. This research was supported by NSF award IIS-1452443 and NIH award R01-GM112697-03.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dulceanu-etal-2018-photoshopquia
https://aclanthology.org/L18-1438
PhotoshopQuiA: A Corpus of Non-Factoid Questions and Answers for Why-Question Answering
Recent years have witnessed a high interest in non-factoid question answering using Community Question Answering (CQA) web sites. Despite ongoing research using state-of-the-art methods, there is a scarcity of available datasets for this task. Why-questions, which play an important role in open-domain and domain-specif...
false
[]
[]
null
null
null
The authors express their sincere thank to the University Gift Funding of Adobe Systems Incorporated for the partial financial support for this research.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fahmi-bouma-2006-learning
https://aclanthology.org/W06-2609
Learning to Identify Definitions using Syntactic Features
This paper describes an approach to learning concept definitions which operates on fully parsed text. A subcorpus of the Dutch version of Wikipedia was searched for sentences which have the syntactic properties of definitions. Next, we experimented with various text classification techniques to distinguish actual defin...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rei-etal-2017-artificial
https://aclanthology.org/W17-5032
Artificial Error Generation with Machine Translation and Syntactic Patterns
Shortage of available training data is holding back progress in the area of automated error detection. This paper investigates two alternative methods for artificially generating writing errors, in order to create additional resources. We propose treating error generation as a machine translation task, where grammatica...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
feng-etal-2006-learning
https://aclanthology.org/N06-1027
Learning to Detect Conversation Focus of Threaded Discussions
In this paper we present a novel featureenriched approach that learns to detect the conversation focus of threaded discussions by combining NLP analysis and IR techniques. Using the graph-based algorithm HITS, we integrate different features such as lexical similarity, poster trustworthiness, and speech act analysis of...
false
[]
[]
null
null
null
The work was supported in part by DARPA grant DOI-NBC Contract No. NBCHC050051, Learning by Reading, and in part by a grant from the Lord Corporation Foundation to the USC Distance Education Network. The authors want to thank Deepak Ravichandran, Feng Pan, and Rahul Bhagat for their helpful suggestions with the manuscr...
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hana-etal-2006-tagging
https://aclanthology.org/W06-2005
Tagging Portuguese with a Spanish Tagger
We describe a knowledge and resource light system for an automatic morphological analysis and tagging of Brazilian Portuguese. 1 We avoid the use of labor intensive resources; particularly, large annotated corpora and lexicons. Instead, we use (i) an annotated corpus of Peninsular Spanish, a language related to Portugu...
false
[]
[]
null
null
null
We would like to thank Maria das Graças Volpe Nunes, Sandra Maria Aluísio, and Ricardo Hasegawa for giving us access to the NILC corpus annotated with PALAVRAS and to Carlos Rodríguez Penagos for letting us use the Spanish part of the CLiC-TALP corpus.
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
emerson-2005-second
https://aclanthology.org/I05-3017
The Second International Chinese Word Segmentation Bakeoff
The second international Chinese word segmentation bakeoff was held in the summer of 2005 to evaluate the current state of the art in word segmentation. Twenty three groups submitted 130 result sets over two tracks and four different corpora. We found that the technology has improved over the intervening two years, tho...
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vulic-etal-2017-automatic
https://aclanthology.org/K17-1013
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations
This paper is concerned with identifying contexts useful for training word representation models for different word classes such as adjectives (A), verbs (V), and nouns (N). We introduce a simple yet effective framework for an automatic selection of class-specific context configurations. We construct a context configur...
false
[]
[]
null
null
null
This work is supported by the ERC Consolidator Grant LEXICAL: Lexical Acquisition Across Languages (no 648909). Roy Schwartz was supported by the Intel Collaborative Research Institute for Computational Intelligence (ICRI-CI). The authors are grateful to the anonymous reviewers for their helpful and constructive sugges...
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mehdad-etal-2013-abstractive
https://aclanthology.org/W13-2117
Abstractive Meeting Summarization with Entailment and Fusion
We propose a novel end-to-end framework for abstractive meeting summarization. We cluster sentences in the input into communities and build an entailment graph over the sentence communities to identify and select the most relevant sentences. We then aggregate those selected sentences by means of a word graph model. We ...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the paper, our annotators for their valuable work, and the NSERC Business Intelligence Network for financial support.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hsiao-etal-2007-word
https://aclanthology.org/O07-1011
Word Translation Disambiguation via Dependency (利用依存關係之辭彙翻譯)
We introduce a new method for automatically disambiguation of word translations by using dependency relationships. In our approach, we learn the relationships between translations and dependency relationships from a parallel corpus. The method consists of a training stage and a runtime stage. During the training stage,...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hamoui-etal-2020-flodusta
https://aclanthology.org/2020.lrec-1.174
FloDusTA: Saudi Tweets Dataset for Flood, Dust Storm, and Traffic Accident Events
The rise of social media platforms makes it a valuable information source of recent events and users' perspective towards them. Twitter has been one of the most important communication platforms in recent years. Event detection, one of the information extraction aspects, involves identifying specified types of events i...
true
[]
[]
Sustainable Cities and Communities
Climate Action
null
Alsaedi, N., & Burnap, P. (2015). Arabic event detection in social media. In International Conference on Intelligent Text . Springer, Cham. Al-Twairesh, N., Al-Khalifa, H., Al-Salman, A., and Al-Ohali, Y. (2017). AraSenTi-Tweet: A Corpus for Arabic Sentiment Analysis of Saudi Tweets. Procedia Computer Science, 117, 63...
2020
false
false
false
false
false
false
false
false
false
false
true
false
true
false
false
false
false
ek-knuutinen-2017-mainstreaming
https://aclanthology.org/W17-0236
Mainstreaming August Strindberg with Text Normalization
This article explores the application of text normalization methods based on Levenshtein distance and Statistical Machine Translation to the literary genre, specifically on the collected works of August Strindberg. The goal is to normalize archaic spellings to modern day spelling. The study finds evidence of success in...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
damani-ghonge-2013-appropriately
https://aclanthology.org/D13-1017
Appropriately Incorporating Statistical Significance in PMI
Two recent measures incorporate the notion of statistical significance in basic PMI formulation. In some tasks, we find that the new measures perform worse than the PMI. Our analysis shows that while the basic ideas in incorporating statistical significance in PMI are reasonable, they have been applied slightly inappro...
false
[]
[]
null
null
null
We thank Dipak Chaudhari for his help with the implementation.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sikdar-gamback-2016-language
https://aclanthology.org/W16-5817
Language Identification in Code-Switched Text Using Conditional Random Fields and Babelnet
The paper outlines a supervised approach to language identification in code-switched data, framing this as a sequence labeling task where the label of each token is identified using a classifier based on Conditional Random Fields and trained on a range of different features, extracted both from the training data and by...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
monson-etal-2004-data
http://www.lrec-conf.org/proceedings/lrec2004/pdf/747.pdf
Data Collection and Analysis of Mapudungun Morphology for Spelling Correction
This paper describes part of a three year collaboration between Carnegie Mellon University's Language Technologies Institute, the
false
[]
[]
null
null
null
This research was funded in part by NSF grant number IIS-0121-631. We would also like to thank the Chilean Ministry of Education funding the team at the Instituto de Estudios Indígenas, especially Carolina Huenchullán, the National Coordinator of the Chilean Ministry of Education's Programa de Educación Intercultural B...
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hohensee-bender-2012-getting
https://aclanthology.org/N12-1032
Getting More from Morphology in Multilingual Dependency Parsing
We propose a linguistically motivated set of features to capture morphological agreement and add them to the MSTParser dependency parser. Compared to the built-in morphological feature set, ours is both much smaller and more accurate across a sample of 20 morphologically annotated treebanks. We find increases in accura...
false
[]
[]
null
null
null
We would like to thank everyone who assisted us in gathering treebanks, particularly Maite Oronoz and her colleagues at the University of the Basque Country and Yoav Goldberg, as well as three anonymous reviewers for their comments.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
doval-etal-2020-robustness
https://aclanthology.org/2020.lrec-1.495
On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning
Cross-lingual word embeddings are vector representations of words in different languages where words with similar meaning are represented by similar vectors, regardless of the language. Recent developments which construct these embeddings by aligning monolingual spaces have shown that accurate alignments can be obtaine...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
naz-etal-2021-fjwu
https://aclanthology.org/2021.wmt-1.86
FJWU Participation for the WMT21 Biomedical Translation Task
In this paper we present the FJWU's system submitted to the biomedical shared task at WMT21. We prepared state-of-the-art multilingual neural machine translation systems for three languages (i.e. German, Spanish and French) with English as target language. Our NMT systems based on Transformer architecture, were trained...
true
[]
[]
Good Health and Well-Being
null
null
This study is funded by the National Research Program for Universities (NRPU) by Higher Education Commission of Pakistan (5469/Punjab/NRPU/R&D/HEC/2016).
2021
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
reisert-etal-2014-corpus
https://aclanthology.org/W14-4910
A Corpus Study for Identifying Evidence on Microblogs
Microblogs are a popular way for users to communicate and have recently caught the attention of researchers in the natural language processing (NLP) field. However, regardless of their rising popularity, little attention has been given towards determining the properties of discourse relations for the rapid, large-scale...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
We would like to acknowledge MEXT (Ministry of Education, Culture, Sports, Science and Technology) for their generous financial support via the Research Student Scholarship. This study was partly supported by Japan Society for the Promotion of Science (JSPS) KAKENHI Grant No. 23240018 and Japan Science and Technology A...
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
kwong-2009-phonological
https://aclanthology.org/W09-3516
Phonological Context Approximation and Homophone Treatment for NEWS 2009 English-Chinese Transliteration Shared Task
This paper describes our systems participating in the NEWS 2009 Machine Transliteration Shared Task. Two runs were submitted for the English-Chinese track. The system for the standard run is based on graphemic approximation of local phonological context. The one for the non-standard run is based on parallel modelling o...
false
[]
[]
null
null
null
The work described in this paper was substantially supported by a grant from City University of Hong Kong (Project No. 7002203).
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
faili-2009-partial
https://aclanthology.org/R09-1014
From Partial toward Full Parsing
Full-Parsing systems able to analyze sentences robustly and completely at an appropriate accuracy can be useful in many computer applications like information retrieval and machine translation systems. Increasing the domain of locality by using tree-adjoining-grammars (TAG) caused some researchers to use it as a modeli...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gao-vogel-2008-parallel
https://aclanthology.org/W08-0509
Parallel Implementations of Word Alignment Tool
Training word alignment models on large corpora is a very time-consuming processes. This paper describes two parallel implementations of GIZA++ that accelerate this word alignment process. One of the implementations runs on computer clusters, the other runs on multi-processor system using multi-threading technology. Re...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
theologitis-1997-euramis
https://aclanthology.org/1997.eamt-1.3
EURAMIS, the platform of the EC Translator
Linguistic technology brings new tools to the desktop of the translator: full-text retrieval systems, terminological systems, translation memories and machine translation. These systems are now being integrated into a single, seamless workflow in a large organisation, the Translation Service of the European Commission....
false
[]
[]
null
null
null
null
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
popescu-belis-etal-2012-discourse
http://www.lrec-conf.org/proceedings/lrec2012/pdf/255_Paper.pdf
Discourse-level Annotation over Europarl for Machine Translation: Connectives and Pronouns
This paper describes methods and results for the annotation of two discourse-level phenomena, connectives and pronouns, over a multilingual parallel corpus. Excerpts from Europarl in English and French have been annotated with disambiguation information for connectives and pronouns, for about 3600 tokens. This data is ...
false
[]
[]
null
null
null
We are grateful for the funding of this work to the Swiss National Science Foundation (SNSF), under its Sinergia program, grant n. CRSI22 127510. The resources described in this article will be made available through the project's website (www.idiap.ch/comtis) in the near future.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
seddah-etal-2012-ubiquitous
http://www.lrec-conf.org/proceedings/lrec2012/pdf/1130_Paper.pdf
Ubiquitous Usage of a Broad Coverage French Corpus: Processing the Est Republicain corpus
In this paper, we introduce a set of resources that we have derived from the EST RÉPUBLICAIN CORPUS, a large, freely-available collection of regional newspaper articles in French, totaling 150 million words. Our resources are the result of a full NLP treatment of the EST RÉPUBLICAIN CORPUS: handling of multi-word expre...
false
[]
[]
null
null
null
We are very grateful to Bertrand Gaiffe and Kamel Nehbi from the CNRTL for making this corpus available. Many thanks to Grzegorz Chrupala for making MORFETTE available to us and for providing unlimited support on this work. This work was partly supported by the ANR Sequoia (ANR-08-EMER-013).
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
berend-vincze-2012-evaluate
https://aclanthology.org/W12-3715
How to Evaluate Opinionated Keyphrase Extraction?
Evaluation often denotes a key issue in semantics-or subjectivity-related tasks. Here we discuss the difficulties of evaluating opinionated keyphrase extraction. We present our method to reduce the subjectivity of the task and to alleviate the evaluation process and we also compare the results of human and machine-base...
false
[]
[]
null
null
null
This work was supported in part by the NIH grant (project codename MASZEKER) of the Hungarian government.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
borin-etal-2014-linguistic
http://www.lrec-conf.org/proceedings/lrec2014/pdf/159_Paper.pdf
Linguistic landscaping of South Asia using digital language resources: Genetic vs. areal linguistics
Like many other research fields, linguistics is entering the age of big data. We are now at a point where it is possible to see how new research questions can be formulated-and old research questions addressed from a new angle or established results verified-on the basis of exhaustive collections of data, rather than s...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ling-etal-2011-reordering
https://aclanthology.org/P11-2079
Reordering Modeling using Weighted Alignment Matrices
In most statistical machine translation systems, the phrase/rule extraction algorithm uses alignments in the 1-best form, which might contain spurious alignment points. The usage of weighted alignment matrices that encode all possible alignments has been shown to generate better phrase tables for phrase-based systems. ...
false
[]
[]
null
null
null
This work was partially supported by FCT (INESC-ID multiannual funding) through the PIDDAC Program funds, and also through projects CMU-PT/HuMach/0039/2008 and CMU-PT/0005/2007. The PhD thesis of Tiago Luís is supported by FCT grant SFRH/BD/62151/2009. The PhD thesis of Wang Ling is supported by FCT grant SFRH/BD/51157...
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kato-etal-2006-woz
https://aclanthology.org/W06-3002
WoZ Simulation of Interactive Question Answering
QACIAD (Question Answering Challenge for Information Access Dialogue) is an evaluation framework for measuring interactive question answering (QA) technologies. It assumes that users interactively collect information using a QA system for writing a report on a given topic and evaluates, among other things, the capabili...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
guo-etal-2016-unified
https://aclanthology.org/C16-1120
A Unified Architecture for Semantic Role Labeling and Relation Classification
This paper describes a unified neural architecture for identifying and classifying multi-typed semantic relations between words in a sentence. We investigate two typical and well-studied tasks: semantic role labeling (SRL) which identifies the relations between predicates and arguments, and relation classification (RC)...
false
[]
[]
null
null
null
We are grateful to Tao Lei for providing the outputs of their systems. We thank the anonymous reviewers for their insightful comments and suggestions. This work was supported by the National Key Basic Research Program of China via grant 2014CB340503 and the National Natural Science Foundation of China (NSFC) via grant ...
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nurani-venkitasubramanian-etal-2017-learning
https://aclanthology.org/W17-2003
Learning to Recognize Animals by Watching Documentaries: Using Subtitles as Weak Supervision
We investigate animal recognition models learned from wildlife video documentaries by using the weak supervision of the textual subtitles. This is a challenging setting, since i) the animals occur in their natural habitat and are often largely occluded and ii) subtitles are to a great degree complementary to the visual...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pethe-etal-2020-chapter
https://aclanthology.org/2020.emnlp-main.672
Chapter Captor: Text Segmentation in Novels
Books are typically segmented into chapters and sections, representing coherent subnarratives and topics. We investigate the task of predicting chapter boundaries, as a proxy for the general task of segmenting long texts. We build a Project Gutenberg chapter segmentation data set of 9,126 English novels, using a hybrid...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their helpful feedback. This work was partially supported by NSF grants IIS-1926751, IIS-1927227, and IIS-1546113.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
piasecki-etal-2012-recognition
http://www.lrec-conf.org/proceedings/lrec2012/pdf/926_Paper.pdf
Recognition of Polish Derivational Relations Based on Supervised Learning Scheme
The paper presents construction of Derywator-a language tool for the recognition of Polish derivational relations. It was built on the basis of machine learning in a way following the bootstrapping approach: a limited set of derivational pairs described manually by linguists in plWordNet is used to train Derivator. The...
false
[]
[]
null
null
null
Work financed by the Polish Ministry of Education and Science, Project N N516 068637.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
boudin-etal-2010-clinical
https://aclanthology.org/N10-1124
Clinical Information Retrieval using Document and PICO Structure
In evidence-based medicine, clinical questions involve four aspects: Patient/Problem (P), Intervention (I), Comparison (C) and Outcome (O), known as PICO elements. In this paper we present a method that extends the language modeling approach to incorporate both document structure and PICO query formulation. We present ...
true
[]
[]
Good Health and Well-Being
null
null
The work described in this paper was funded by the Social Sciences and Humanities Research Council (SSHRC). The authors would like to thank Dr. Ann McKibbon, Dr. Dina Demner-Fushman, Lorie Kloda, Laura Shea, Lucas Baire and Lixin Shi for their contribution in the project.
2010
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
safi-samghabadi-etal-2018-ritual
https://aclanthology.org/W18-4402
RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification
This paper presents our system for "TRAC 2018 Shared Task on Aggression Identification". Our best systems for the English dataset use a combination of lexical and semantic features. However, for Hindi data using only lexical features gave us the best results. We obtained weighted F1measures of 0.5921 for the English Fa...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
mueller-waibel-2015-using
https://aclanthology.org/2015.iwslt-papers.7
Using language adaptive deep neural networks for improved multilingual speech recognition
null
false
[]
[]
null
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
silvestre-baquero-mitkov-2017-translation
https://doi.org/10.26615/978-954-452-042-7_006
Translation Memory Systems Have a Long Way to Go
null
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
steinberger-etal-2011-jrc
https://aclanthology.org/R11-1015
JRC-NAMES: A Freely Available, Highly Multilingual Named Entity Resource
This paper describes a new, freely available, highly multilingual named entity resource for person and organisation names that has been compiled over seven years of large-scale multilingual news analysis combined with Wikipedia mining, resulting in 205,000 person and organisation names plus about the same number of spe...
false
[]
[]
null
null
null
The Europe Media Monitor EMM is a multiannual group effort involving many tasks, of which some are much less visible to the outside world. We would thus like to thank all past and present OPTIMA team members for their help and dedication. We would also like to thank our Unit Head Delilah Al Khudhairy for her support.
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2022-seeking
https://aclanthology.org/2022.findings-acl.195
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems
Math Word Problem (MWP) solving needs to discover the quantitative relationships over natural language narratives. Recent work shows that existing models memorize procedures from context and rely on shallow heuristics to solve MWPs. In this paper, we look at this issue and argue that the cause is a lack of overall unde...
false
[]
[]
null
null
null
null
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sakaguchi-etal-2018-comprehensive
https://aclanthology.org/L18-1050
Comprehensive Annotation of Various Types of Temporal Information on the Time Axis
In order to make the temporal interpretation of text, there have been many studies linking event and temporal information, such as temporal ordering of events and timeline generation. To train and evaluate models in these studies, many corpora that associate event information with time information have been developed. ...
false
[]
[]
null
null
null
This work was partially supported by JST CREST Grant Number JPMJCR1301 including AIP challenge program, Japan. We also thank Manami Ishikawa, Marika Horiuchi and Natsuki Nikaido for their careful annotation.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yu-2007-chinese
https://aclanthology.org/N07-2050
Chinese Named Entity Recognition with Cascaded Hybrid Model
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of weak classifiers together into a base system. Secondly, we introduce various types of heuristic human knowledge into Markov Logic Networks (...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
freedman-etal-2011-language
https://aclanthology.org/P11-2059
Language Use: What can it tell us?
For 20 years, information extraction has focused on facts expressed in text. In contrast, this paper is a snapshot of research in progress on inferring properties and relationships among participants in dialogs, even though these properties/relationships need not be expressed as facts. For instance, can a machine detec...
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 _____. All statements of fact, opinion or conclusions contained herein are those of the authors and should not be construed as representing the official views or ...
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
guinaudeau-strube-2013-graph
https://aclanthology.org/P13-1010
Graph-based Local Coherence Modeling
We propose a computationally efficient graph-based approach for local coherence modeling. We evaluate our system on three tasks: sentence ordering, summary coherence rating and readability assessment. The performance is comparable to entity grid based approaches though these rely on a computationally expensive training...
false
[]
[]
null
null
null
Acknowledgments. This work has been funded by the Klaus Tschira Foundation, Heidelberg, Germany. The first author has been supported by a HITS postdoctoral scholarship. We would like to thank Mirella Lapata and Regina Barzilay for making their data available and Micha Elsner for providing his toolkit.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schuster-hegelich-2022-berts
https://aclanthology.org/2022.findings-acl.89
From BERT`s Point of View: Revealing the Prevailing Contextual Differences
Though successfully applied in research and industry large pretrained language models of the BERT family are not yet fully understood. While much research in the field of BERTology has tested whether specific knowledge can be extracted from layer activations, we invert the popular probing design to analyze the prevaili...
false
[]
[]
null
null
null
This work was supported by the Heinrich Böll Foundation through a doctoral scholarship. We would like to thank the anonymous reviewers for their valuable feedback.
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hossain-schwitter-2018-specifying
https://aclanthology.org/U18-1005
Specifying Conceptual Models Using Restricted Natural Language
The key activity to design an information system is conceptual modelling which brings out and describes the general knowledge that is required to build a system. In this paper we propose a novel approach to conceptual modelling where the domain experts will be able to specify and construct a model using a restricted fo...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
madaan-sadat-2020-multilingual
https://aclanthology.org/2020.wildre-1.6
Multilingual Neural Machine Translation involving Indian Languages
Neural Machine Translations (NMT) models are capable of translating a single bilingual pair and require a new model for each new language pair. Multilingual Neural Machine Translation models are capable of translating multiple language pairs, even pairs which it hasn't seen before in training. Availability of parallel ...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ueffing-etal-2002-generation
https://aclanthology.org/W02-1021
Generation of Word Graphs in Statistical Machine Translation
null
false
[]
[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kuo-chen-2004-event
https://aclanthology.org/W04-0703
Event Clustering on Streaming News Using Co-Reference Chains and Event Words
Event clustering on streaming news aims to group documents by events automatically. This paper employs co-reference chains to extract the most representative sentences, and then uses them to select the most informative features for clustering. Due to the long span of events, a fixed threshold approach prohibits the lat...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chert-etal-1998-ntu
https://aclanthology.org/X98-1022
An NTU-Approach to Automatic Sentence Extraction for Summary Generation
Automatic summarization and information extraction are two important Internet services. MUC and SUMMAC play their appropriate roles in the next generation Internet. This paper focuses on the automatic summarization and proposes two different models to extract sentences for summary generation under two tasks initiated b...
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kao-chen-2011-diagnosing
https://aclanthology.org/O11-2010
Diagnosing Discoursal Organization in Learner Writing via Conjunctive Adverbials (診斷學習者英語寫作篇章結構:以篇章連接副詞為例)
The present study aims to investigate genre influence on the use and misuse of conjunctive adverbials (hereafter CAs) by compiling a learner corpus annotated with discoursal information on CAs. To do so, an online interface is constructed to collect and annotate data, and an annotating system for identifying the use an...
true
[]
[]
Quality Education
null
null
null
2011
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
macherey-och-2007-empirical
https://aclanthology.org/D07-1105
An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
This paper presents an empirical study on how different selections of input translation systems affect translation quality in system combination. We give empirical evidence that the systems to be combined should be of similar quality and need to be almost uncorrelated in order to be beneficial for system combination. E...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
van-noord-bouma-1997-hdrug
https://aclanthology.org/W97-1513
Hdrug. A Flexible and Extendible Development Environment for Natural Language Processing.
Alfa-informatica & BCN, University of Groningen vannoord, gosse@let, rug. nl Hdrug is an environment to develop grammars, parsers and generators for natural languages. The package is written in Sicstus Prolog and Tcl/Tk. The system provides a graphical user interface with a command interpreter, and a number of visualis...
false
[]
[]
null
null
null
Part of this research is being carried out within the framework of the Priority Programme Language and Speech Technology (TST). The TST-Programme is sponsored by NWO (Dutch Organisation for Scientific Research).
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
langedijk-etal-2022-meta
https://aclanthology.org/2022.acl-long.582
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing
Meta-learning, or learning to learn, is a technique that can help to overcome resource scarcity in cross-lingual NLP problems, by enabling fast adaptation to new tasks. We apply model-agnostic meta-learning (MAML) to the task of cross-lingual dependency parsing. We train our model on a diverse set of languages to learn...
false
[]
[]
null
null
null
null
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kuhn-etal-2010-phrase
https://aclanthology.org/C10-1069
Phrase Clustering for Smoothing TM Probabilities - or, How to Extract Paraphrases from Phrase Tables
This paper describes how to cluster together the phrases of a phrase-based statistical machine translation (SMT) system, using information in the phrase table itself. The clustering is symmetric and recursive: it is applied both to sourcelanguage and target-language phrases, and the clustering in one language helps det...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pasquier-2010-single
https://aclanthology.org/S10-1032
Single Document Keyphrase Extraction Using Sentence Clustering and Latent Dirichlet Allocation
This paper describes the design of a system for extracting keyphrases from a single document The principle of the algorithm is to cluster sentences of the documents in order to highlight parts of text that are semantically related. The clusters of sentences, that reflect the themes of the document, are then analyzed to...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
von-essen-hesslow-2020-building
https://aclanthology.org/2020.pam-1.16
Building a Swedish Question-Answering Model
High quality datasets for question answering exist in a few languages, but far from all. Producing such datasets for new languages requires extensive manual labour. In this work we look at different methods for using existing datasets to train question-answering models in languages lacking such datasets. We show that m...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kelly-etal-2009-investigating
https://aclanthology.org/W09-0623
Investigating Content Selection for Language Generation using Machine Learning
The content selection component of a natural language generation system decides which information should be communicated in its output. We use information from reports on the game of cricket. We first describe a simple factoid-to-text alignment algorithm then treat content selection as a collective classification probl...
false
[]
[]
null
null
null
This paper is based on Colin Kelly's M.Phil. thesis, written towards his completion of the University of Cambridge Computer Laboratory's Computer Speech, Text and Internet Technology course. Grateful thanks go to the EPSRC for funding.
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
van-den-bogaert-etal-2020-mice
https://aclanthology.org/2020.eamt-1.59
MICE: a middleware layer for MT
The MICE project (2018-2020) will deliver a middleware layer for improving the output quality of the eTranslation system of EC's Connecting Europe Facility through additional services, such as domain adaptation and named-entity recognition. It will also deliver a user portal, allowing for human post-editing.
false
[]
[]
null
null
null
MICE is funded by the EC's CEF Telecom programme (project 2017-EU-IA-0169).
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
deleger-zweigenbaum-2010-identifying
http://www.lrec-conf.org/proceedings/lrec2010/pdf/472_Paper.pdf
Identifying Paraphrases between Technical and Lay Corpora
In previous work, we presented a preliminary study to identify paraphrases between technical and lay discourse types from medical corpora dedicated to the French language. In this paper, we test the hypothesis that the same kinds of paraphrases as for French can be detected between English technical and lay discourse t...
true
[]
[]
Quality Education
null
null
null
2010
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
rosenthal-mckeown-2013-columbia
https://aclanthology.org/S13-2079
Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media
We present a supervised sentiment detection system that classifies the polarity of subjective phrases as positive, negative, or neutral. It is tailored towards online genres, specifically Twitter, through the inclusion of dictionaries developed to capture vocabulary used in online conversations (e.g., slang and emotico...
false
[]
[]
null
null
null
This research was partially funded by (a) the ODNI, IARPA, through the U.S. Army Research Lab and (b) the DARPA DEFT Program. All statements of fact, opinion or conclusions contained herein are those of the authors and should not be construed as representing the official views, policies, or positions of IARPA, the ODNI...
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gupta-2020-finlp
https://aclanthology.org/2020.fnp-1.12
FiNLP at FinCausal 2020 Task 1: Mixture of BERTs for Causal Sentence Identification in Financial Texts
This paper describes our system developed for the sub-task 1 of the FinCausal shared task in the FNP-FNS workshop held in conjunction with COLING-2020. The system classifies whether a financial news text segment contains causality or not. To address this task, we fine-tune and ensemble the generic and domain-specific B...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bisk-etal-2016-natural
https://aclanthology.org/N16-1089
Natural Language Communication with Robots
We propose a framework for devising empirically testable algorithms for bridging the communication gap between humans and robots. We instantiate our framework in the context of a problem setting in which humans give instructions to robots using unrestricted natural language commands, with instruction sequences being su...
false
[]
[]
null
null
null
This work was supported by Contract W911NF-15-1-0543 with the US Defense Advanced Research Projects Agency (DARPA) and the Army Research Office (ARO).
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
patchala-bhatnagar-2018-authorship
https://aclanthology.org/C18-1234
Authorship Attribution By Consensus Among Multiple Features
Most existing research on authorship attribution uses various lexical, syntactic and semantic features. In this paper we demonstrate an effective template-based approach for combining various syntactic features of a document for authorship analysis. The parse-tree based features that we propose are independent of the t...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
peng-etal-2016-news
https://aclanthology.org/P16-1037
News Citation Recommendation with Implicit and Explicit Semantics
In this work, we focus on the problem of news citation recommendation. The task aims to recommend news citations for both authors and readers to create and search news references. Due to the sparsity issue of news citations and the engineering difficulty in obtaining information on authors, we focus on content similari...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zheng-etal-2022-fewnlu
https://aclanthology.org/2022.acl-long.38
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
The few-shot natural language understanding (NLU) task has attracted much recent attention. However, prior methods have been evaluated under a disparate set of protocols, which hinders fair comparison and measuring progress of the field. To address this issue, we introduce an evaluation framework that improves previous...
false
[]
[]
null
null
null
We thank Dani Yogatama for valuable feedback on a draft of this paper.
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2020-zero
https://aclanthology.org/2020.repl4nlp-1.1
Zero-Resource Cross-Domain Named Entity Recognition
Existing models for cross-domain named entity recognition (NER) rely on numerous unlabeled corpus or labeled NER training data in target domains. However, collecting data for low-resource target domains is not only expensive but also time-consuming. Hence, we propose a cross-domain NER model that does not use any exter...
false
[]
[]
null
null
null
This work is partially funded by ITF/319/16FP and MRP/055/18 of the Innovation Technology Commission, the Hong Kong SAR Government.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dufter-etal-2021-static
https://aclanthology.org/2021.naacl-main.186
Static Embeddings as Efficient Knowledge Bases?
Recent research investigates factual knowledge stored in large pretrained language models (PLMs). Instead of structural knowledge base (KB) queries, masked sentences such as "Paris is the capital of [MASK]" are used as probes. The good performance on this analysis task has been interpreted as PLMs becoming potential re...
false
[]
[]
null
null
null
Acknowledgements. This work was supported by the European Research Council (# 740516) and the German Federal Ministry of Education and Research (BMBF) under Grant No. 01IS18036A. The authors of this work take full responsibility for its content. The first author was supported by the Bavarian research institute for digi...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-etal-2021-improving
https://aclanthology.org/2021.naacl-main.475
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Despite significant progress in neural abstractive summarization, recent studies have shown that the current models are prone to generating summaries that are unfaithful to the original context. To address the issue, we study contrast candidate generation and selection as a model-agnostic post-processing technique to c...
false
[]
[]
null
null
null
We thank Sunita Verma and Sugato Basu for valuable input and feedback on drafts of the paper. This work was supported in part by a Focused Award from Google, a gift from Tencent, and by Contract FA8750-19-2-1004 with the US Defense Advanced Research Projects Agency (DARPA). The views expressed are those of the authors ...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tsai-etal-2016-cross
https://aclanthology.org/K16-1022
Cross-Lingual Named Entity Recognition via Wikification
Named Entity Recognition (NER) models for language L are typically trained using annotated data in that language. We study cross-lingual NER, where a model for NER in L is trained on another, source, language (or multiple source languages). We introduce a language independent method for NER, building on cross-lingual w...
false
[]
[]
null
null
null
This research is supported by NIH grant U54-GM114838, a grant from the Allen Institute for Artificial Intelligence (allenai.org), and Contract HR0011-15-2-0025 with the US Defense Advanced Research Projects Agency (DARPA). Approved for Public Release, Distribution Unlimited. The views expressed are those of the authors...
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
arapov-herz-1973-frequency
https://aclanthology.org/C73-2001
Frequency and Age as Characteristics of a Word
1. The problem of rdation between the frequency and age of a word is only a small part of the general problem of opposition of the synchronic and diachronic aspects of language. The frequency is obviously a purely synchronic characteristic of a word whereas the age (the time interval t between the appearance of the wor...
false
[]
[]
null
null
null
null
1973
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-liu-2015-corpus
https://aclanthology.org/Y15-2029
A Corpus-based Comparatively Study on the Semantic Features and Syntactic patterns of Y\`ou/H\'ai in Mandarin Chinese
This study points out that Yòu () and Hái (✁) have their own prominent semantic features and syntactic patterns compared with each other. The differences reflect in the combination with verbs 1. Hái (✁) has absolute superiority in collocation with V+Bu (✂)+V, which tends to express [durative]. Yòu () has advantages in ...
false
[]
[]
null
null
null
The study is supported by 1) National Language Committee Research Project .2) The Fundamental Research Funds for the Central Universities, and the Research Funds of Beijing Language and Culture University (No.15YCX101). 3) Science Foundation of Beijing Language and Culture University (supported by "the Fundamental Rese...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
emele-1991-unification
https://aclanthology.org/P91-1042
Unification With Lazy Non-Redundant Copying
This paper presents a unification procedure which eliminates the redundant copying of structures by using a lazy incremental copying appr0a~:h to achieve structure sharing. Copying of structures accounts for a considerable amount of the total processing time. Several methods have been proposed to minimize the amount of...
false
[]
[]
null
null
null
null
1991
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tu-etal-2016-modeling
https://aclanthology.org/P16-1008
Modeling Coverage for Neural Machine Translation
Attention mechanism has enhanced stateof-the-art Neural Machine Translation (NMT) by jointly learning to align and translate. It tends to ignore past alignment information, however, which often leads to over-translation and under-translation. To address this problem, we propose coverage-based NMT in this paper. We main...
false
[]
[]
null
null
null
This work is supported by China National 973 project 2014CB340301. Yang Liu is supported by the National Natural Science Foundation of China (No. 61522204) and the 863 Program (2015AA011808). We thank the anonymous reviewers for their insightful comments.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
munteanu-etal-2004-improved
https://aclanthology.org/N04-1034
Improved Machine Translation Performance via Parallel Sentence Extraction from Comparable Corpora
null
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
le-hoi-2020-video
https://aclanthology.org/2020.acl-main.518
Video-Grounded Dialogues with Pretrained Generation Language Models
Pre-trained language models have shown remarkable success in improving various downstream NLP tasks due to their ability to capture dependencies in textual data and generate natural responses. In this paper, we leverage the power of pre-trained language models for improving video-grounded dialogue, which is very challe...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pacak-1963-slavic
https://aclanthology.org/1963.earlymt-1.27
Slavic languages---comparative morphosyntactic research
null
false
[]
[]
null
null
null
null
1963
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2021-continual
https://aclanthology.org/2021.findings-acl.239
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation
The data scarcity in low-resource languages has become a bottleneck to building robust neural machine translation systems. Finetuning a multilingual pre-trained model (e.g., mBART (Liu et al., 2020a)) on the translation task is a good approach for low-resource languages; however, its performance will be greatly limited...
false
[]
[]
null
null
null
We want to say thanks to the anonymous reviewers for the insightful reviews and constructive feedback. This work is partially funded by ITF/319/16FP and MRP/055/18 of the Innovation Technology Commission, the Hong Kong SAR Government.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
austin-etal-1992-bbn
https://aclanthology.org/H92-1049
BBN Real-Time Speech Recognition Demonstrations
Typically, real-time speech recognition -if achieved at all -is accomplished either by greatly simplifying the processing to be done, or by the use of special-purpose hardware. Each of these approaches has obvious problems. The former results in a substantial loss in accuracy, while the latter often results in obsolete...
false
[]
[]
null
null
null
null
1992
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aggarwal-etal-2021-efficient
https://aclanthology.org/2021.ranlp-1.3
Efficient Multilingual Text Classification for Indian Languages
India is one of the richest language hubs on the earth and is very diverse and multilingual. But apart from a few Indian languages, most of them are still considered to be resource poor. Since most of the NLP techniques either require linguistic knowledge that can only be developed by experts and native speakers of tha...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
uehara-harada-2020-unsupervised
https://aclanthology.org/2020.nlpbt-1.6
Unsupervised Keyword Extraction for Full-Sentence VQA
In the majority of the existing Visual Question Answering (VQA) research, the answers consist of short, often single words, as per instructions given to the annotators during dataset construction. This study envisions a VQA task for natural situations, where the answers are more likely to be sentences rather than singl...
false
[]
[]
null
null
null
Acknowledgement This work was partially supported by JST CREST Grant Number JP-MJCR1403, and partially supported by JSPS KAKENHI Grant Number JP19H01115 and JP20H05556. We would like to thank Yang Li, Sho Maeoki, Sho Inayoshi, and Antonio Tejerode-Pablos for helpful discussions.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dinu-moldovan-2021-automatic
https://aclanthology.org/2021.ranlp-1.41
Automatic Detection and Classification of Mental Illnesses from General Social Media Texts
Mental health is getting more and more attention recently, depression being a very common illness nowadays, but also other disorders like anxiety, obsessive-compulsive disorders, feeding disorders, autism, or attention-deficit/hyperactivity disorders. The huge amount of data from social media and the recent advances of...
true
[]
[]
Good Health and Well-Being
null
null
This research is supported by a grant of the Ministry of Research, Innovation and Digitization, CNCS/CCCDI Metric DEPR CONT SCHIZ CONTR OCD CONT EAT CONT BPD CONT ADHD CONT PTSD CONT AUT CONT ANX CONT
2021
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2021-secoco-self
https://aclanthology.org/2021.findings-emnlp.396
Secoco: Self-Correcting Encoding for Neural Machine Translation
This paper presents Self-correcting Encoding (Secoco), a framework that effectively deals with input noise for robust neural machine translation by introducing self-correcting predictors. Different from previous robust approaches, Secoco enables NMT to explicitly correct noisy inputs and delete specific errors simultan...
false
[]
[]
null
null
null
Deyi Xiong was partially supported by the National Key Research and Development Program of China (Grant No.2019QY1802) and Natural Science Foundation of Tianjin (Grant No.19JCZDJC31400). We would like to thank the three anonymous reviewers for their insightful comments.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bustamante-diaz-2006-spelling
http://www.lrec-conf.org/proceedings/lrec2006/pdf/119_pdf.pdf
Spelling Error Patterns in Spanish for Word Processing Applications
This paper reports findings from the elaboration of a typology of spelling errors for Spanish. It also discusses previous generalizations about spelling error patterns found in other studies and offers new insights on them. The typology is based on the analysis of around 76K misspellings found in real-life texts produc...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
koshorek-etal-2018-text
https://aclanthology.org/N18-2075
Text Segmentation as a Supervised Learning Task
Text segmentation, the task of dividing a document into contiguous segments based on its semantic structure, is a longstanding challenge in language understanding. Previous work on text segmentation focused on unsupervised methods such as clustering or graph search, due to the paucity in labeled data. In this work, we ...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their constructive feedback. This work was supported by the Israel Science Foundation, grant 942/16.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kaewphan-etal-2014-utu
https://aclanthology.org/S14-2143
UTU: Disease Mention Recognition and Normalization with CRFs and Vector Space Representations
In this paper we present our system participating in the SemEval-2014 Task 7 in both subtasks A and B, aiming at recognizing and normalizing disease and symptom mentions from electronic medical records respectively. In subtask A, we used an existing NER system, NERsuite, with our own feature set tailored for this task....
true
[]
[]
Good Health and Well-Being
null
null
Computational resources were provided by CSC -IT Center for Science Ltd, Espoo, Finland. This work was supported by the Academy of Finland.
2014
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
niv-1992-right
https://aclanthology.org/P92-1039
Right Association Revisited
Consideration of when Right Association works and when it fails lead to a restatement of this parsing principle in terms of the notion of heaviness. A computational investigation of a syntactically annotated corpus provides evidence for this proposal and suggest circumstances when RA is likely to make correct attachmen...
false
[]
[]
null
null
null
null
1992
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false