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nogueira-cho-2017-task
https://aclanthology.org/D17-1061
Task-Oriented Query Reformulation with Reinforcement Learning
Search engines play an important role in our everyday lives by assisting us in finding the information we need. When we input a complex query, however, results are often far from satisfactory. In this work, we introduce a query reformulation system based on a neural network that rewrites a query to maximize the number ...
false
[]
[]
null
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null
RN is funded by Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES). KC thanks support by Facebook, Google and NVIDIA. This work was partly funded by the Defense Advanced Research Projects Agency (DARPA) D3M program. Any opinions, findings, and conclusions or recommendations expressed in this material are t...
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
monsalve-etal-2019-assessing
https://aclanthology.org/W19-4010
Assessing Back-Translation as a Corpus Generation Strategy for non-English Tasks: A Study in Reading Comprehension and Word Sense Disambiguation
Corpora curated by experts have sustained Natural Language Processing mainly in English, but the expensiveness of corpora creation is a barrier for the development in further languages. Thus, we propose a corpus generation strategy that only requires a machine translation system between English and the target language ...
false
[]
[]
null
null
null
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 825299. Besides, we acknowledge the support of the NVIDIA Corporation with the donation of the Titan Xp GPU used for this study. Finally, the first author is granted by the "Programa de a...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
prolo-2006-handling
https://aclanthology.org/W06-1520
Handling Unlike Coordinated Phrases in TAG by Mixing Syntactic Category and Grammatical Function
Coordination of phrases of different syntactic categories has posed a problem for generative systems based only on syntactic categories. Although some prefer to treat them as exceptional cases that should require some extra mechanism (as for elliptical constructions), or to allow for unrestricted cross-category coordin...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bateman-etal-2002-brief
https://aclanthology.org/W02-1703
A Brief Introduction to the GeM Annotation Schema for Complex Document Layout
In this paper we sketch the design, motivation and use of the GeM annotation scheme: an XML-based annotation framework for preparing corpora involving documents with complex layout of text, graphics, diagrams, layout and other navigational elements. We set out the basic organizational layers, contrast the technical app...
false
[]
[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kreutzer-etal-2020-inference
https://aclanthology.org/2020.emnlp-main.465
Inference Strategies for Machine Translation with Conditional Masking
Conditional masked language model (CMLM) training has proven successful for nonautoregressive and semi-autoregressive sequence generation tasks, such as machine translation. Given a trained CMLM, however, it is not clear what the best inference strategy is. We formulate masked inference as a factorization of conditiona...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
knight-koehn-2003-whats
https://aclanthology.org/N03-5005
What's New in Statistical Machine Translation
null
false
[]
[]
null
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
miquel-ribe-rodriguez-2011-cultural
https://aclanthology.org/R11-1044
Cultural Configuration of Wikipedia: measuring Autoreferentiality in Different Languages
Among the motivations to write in Wikipedia given by the current literature there is often coincidence, but none of the studies presents the hypothesis of contributing for the visibility of the own national or language related content. Similar to topical coverage studies, we outline a method which allows collecting the...
false
[]
[]
null
null
null
This work has been partially funded by KNOW2 (TIN2009-14715-C04-04) Eduard Aibar, Amical Viquipèdia, Joan Campàs, Marcos Faúndez. Diana Petri, Pere Tuset, Fina Ribé, Jordi Miquel, Joan Ribé, Peius Cotonat.
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
stambolieva-2011-parallel
https://aclanthology.org/W11-4306
Parallel Corpora in Aspectual Studies of Non-Aspect Languages
The paper presents the first results, for Bulgarian and English, of a multilingual Trans-Verba project in progress at the NBU Laboratory for Language Technologies. The project explores the possibility to use Bulgarian translation equivalents in parallel corpora and translation memories as a metalanguage in assigning as...
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lee-etal-2011-discriminative
https://aclanthology.org/P11-1089
A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing
Most previous studies of morphological disambiguation and dependency parsing have been pursued independently. Morphological taggers operate on n-grams and do not take into account syntactic relations; parsers use the "pipeline" approach, assuming that morphological information has been separately obtained. However, in ...
false
[]
[]
null
null
null
We thank David Bamman and Gregory Crane for their feedback and support. Part of this research was performed by the first author while visiting Perseus Digital Library at Tufts University, under the grants A Reading Environment for Arabic and Islamic Culture, Department of Education (P017A060068-08) and The Dynamic Lexi...
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chang-etal-2013-constrained
https://aclanthology.org/D13-1057
A Constrained Latent Variable Model for Coreference Resolution
Coreference resolution is a well known clustering task in Natural Language Processing. In this paper, we describe the Latent Left Linking model (L 3 M), a novel, principled, and linguistically motivated latent structured prediction approach to coreference resolution. We show that L 3 M admits efficient inference and ca...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
appelt-hobbs-1990-making
https://aclanthology.org/H90-1012
Making Abduction More Efficient
The TACITUS system uses a cost-based abduction scheme for finding and choosing among possible interpretations for natural language texts. Ordinary Prologstyle, backchaining deduction is augmented with the capability of making assumptions and of factoring two goal literals that are unifiable (see Hobbs et al., 1988) . D...
false
[]
[]
null
null
null
null
1990
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
roxas-borra-2000-panel
https://aclanthology.org/P00-1074
Panel: Computational Linguistics Research on Philippine Languages
This is a paper that describes computational linguistic activities on Philippines languages. The Philippines is an archipelago with vast numbers of islands and numerous languages. The tasks of understanding, representing and implementing these languages require enormous work. An extensive amount of work has been done o...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
r-l-m-2020-nitk
https://aclanthology.org/2020.fnp-1.9
NITK NLP at FinCausal-2020 Task 1 Using BERT and Linear models.
FinCausal-2020 is the shared task which focuses on the causality detection of factual data for financial analysis. The financial data facts don't provide much explanation on the variability of these data. This paper aims to propose an efficient method to classify the data into one which is having any financial cause or...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
parida-etal-2020-odianlps
https://aclanthology.org/2020.wat-1.10
ODIANLP's Participation in WAT2020
This paper describes the team ("ODIANLP")'s submission to WAT 2020. We have participated in the English→Hindi Multimodal task and Indic task. We have used the state-ofthe-art Transformer model for the translation task and InceptionResNetV2 for the Hindi Image Captioning task. Our submission tops in English→Hindi Multim...
false
[]
[]
null
null
null
At Idiap, the work was supported by the EU H2020 project "Real-time network, text, and speaker analytics for combating organized crime" (ROX-ANNE), grant agreement: 833635.At Charles University, the work was supported by the grants 19-26934X (NEUREM3) of the Czech Science Foundation and "Progress" Q18+Q48 of Charles Un...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
filimonov-harper-2011-syntactic
https://aclanthology.org/D11-1064
Syntactic Decision Tree LMs: Random Selection or Intelligent Design?
Decision trees have been applied to a variety of NLP tasks, including language modeling, for their ability to handle a variety of attributes and sparse context space. Moreover, forests (collections of decision trees) have been shown to substantially outperform individual decision trees. In this work, we investigate met...
false
[]
[]
null
null
null
We would like to thank Ariya Rastrow for providing word lattices for the ASR rescoring experiments.
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
burlot-2019-lingua
https://aclanthology.org/W19-5310
Lingua Custodia at WMT'19: Attempts to Control Terminology
This paper describes Lingua Custodia's submission to the WMT'19 news shared task for German-to-French on the topic of the EU elections. We report experiments on the adaptation of the terminology of a machine translation system to a specific topic, aimed at providing more accurate translations of specific entities like ...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fang-cohn-2017-model
https://aclanthology.org/P17-2093
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary
Cross-lingual model transfer is a compelling and popular method for predicting annotations in a low-resource language, whereby parallel corpora provide a bridge to a high-resource language and its associated annotated corpora. However, parallel data is not readily available for many languages, limiting the applicabilit...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mcintyre-1998-babel-testbed
https://aclanthology.org/P98-2137
Babel: A Testbed for Research in Origins of Language
We believe that language is a complex adaptive system that emerges from adaptive interactions between language users and continues to evolve and adapt through repeated interactions. Our research looks at the mechanisms and processes involved in such emergence and adaptation. To provide a basis for our computer simulati...
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gust-reddig-1982-logic
https://aclanthology.org/C82-2026
A LOGIC-ORIENTED ATN: Grammar Knowledge as Part of the System's Knowledge
The eystem BACON (Berlin Autcmatle COnstruction for semantic Networks) is an experimental intelligent qaestion--answerlng system with a nataral la~uage interface based on single sentence input 1. 1 This system has been developed in the project "Automatisehe Erstellung eemantischer Hetze" (Automatic construction of eman...
false
[]
[]
null
null
null
null
1982
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gianfortoni-etal-2011-modeling
https://aclanthology.org/W11-2606
Modeling of Stylistic Variation in Social Media with Stretchy Patterns
In this paper we describe a novel feature discovery technique that can be used to model stylistic variation in sociolects. While structural features offer much in terms of expressive power over simpler features used more frequently in machine learning approaches to modeling linguistic variation, they frequently come at...
false
[]
[]
null
null
null
This research was funded by ONR grant N000141110221 and NSF DRL-0835426.
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
spitkovsky-etal-2011-punctuation
https://aclanthology.org/W11-0303
Punctuation: Making a Point in Unsupervised Dependency Parsing
We show how punctuation can be used to improve unsupervised dependency parsing. Our linguistic analysis confirms the strong connection between English punctuation and phrase boundaries in the Penn Treebank. However, approaches that naively include punctuation marks in the grammar (as if they were words) do not perform ...
false
[]
[]
null
null
null
Partially funded by the Air Force Research Laboratory (AFRL), under prime contract no. FA8750-09-C-0181, and by NSF, via award #IIS-0811974. We thank Omri Abend, Slav Petrov and anonymous reviewers for many helpful suggestions, and we are especially grateful to Jenny R. Finkel for shaming us into using punctuation, to ...
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rasanen-driesen-2009-comparison
https://aclanthology.org/W09-4640
A comparison and combination of segmental and fixed-frame signal representations in NMF-based word recognition
Segmental and fixed-frame signal representations were compared in different noise conditions in a weakly supervised word recognition task using a non-negative matrix factorization (NMF) framework. The experiments show that fixed-frame windowing results in better recognition rates with clean signals. When noise is intro...
false
[]
[]
null
null
null
This research is funded as part of the EU FP6 FET project Acquisition of Communication and Recognition Skills (ACORNS), contract no. FP6-034362.
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2019-stac
https://aclanthology.org/W19-2608
STAC: Science Toolkit Based on Chinese Idiom Knowledge Graph
Chinese idioms (Cheng Yu) have seen five thousand years' history and culture of China, meanwhile they contain large number of scientific achievement of ancient China. However, existing Chinese online idiom dictionaries have limited function for scientific exploration. In this paper, we first construct a Chinese idiom k...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lopez-etal-2011-automatic
https://aclanthology.org/R11-1106
Automatic titling of Articles Using Position and Statistical Information
This paper describes a system facilitating information retrieval in a set of textual documents by tackling the automatic titling and subtitling issue. Automatic titling here consists in extracting relevant noun phrases from texts as candidate titles. An original approach combining statistical criteria and noun phrases ...
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aksenova-etal-2016-morphotactics
https://aclanthology.org/W16-2019
Morphotactics as Tier-Based Strictly Local Dependencies
It is commonly accepted that morphological dependencies are finite-state in nature. We argue that the upper bound on morphological expressivity is much lower. Drawing on technical results from computational phonology, we show that a variety of morphotactic phenomena are tierbased strictly local and do not fall into wea...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chisholm-etal-2017-learning
https://aclanthology.org/E17-1060
Learning to generate one-sentence biographies from Wikidata
We investigate the generation of onesentence Wikipedia biographies from facts derived from Wikidata slot-value pairs. We train a recurrent neural network sequence-to-sequence model with attention to select facts and generate textual summaries. Our model incorporates a novel secondary objective that helps ensure it gene...
false
[]
[]
null
null
null
This work was supported by a Google Faculty Research Award (Chisholm) and an Australian Research Council Discovery Early Career Researcher Award (DE120102900, Hachey). Many thanks to reviewers for insightful comments and suggestions, and to Glen Pink, Kellie Webster, Art Harol and Bo Han for feedback at various stages.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chiang-etal-2021-improved
https://aclanthology.org/2021.rocling-1.38
Improved Text Classification of Long-term Care Materials
Aging populations have posed a challenge to many countries including Taiwan, and with them come the issue of long-term care. Given the current context, the aim of this study was to explore the hotly-discussed subtopics in the field of long-term care, and identify its features through NLP. Texts from forums and websites...
true
[]
[]
Good Health and Well-Being
null
null
null
2021
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lukasik-etal-2016-hawkes
https://aclanthology.org/P16-2064
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter
Classification of temporal textual data sequences is a common task in various domains such as social media and the Web. In this paper we propose to use Hawkes Processes for classifying sequences of temporal textual data, which exploit both temporal and textual information. Our experiments on rumour stance classificatio...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
The work was supported by the European Union under grant agreement No. 611233 PHEME. Cohn was supported by an ARC Future Fellowship scheme (project number FT130101105).
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
kwong-2009-graphemic
https://aclanthology.org/W09-3537
Graphemic Approximation of Phonological Context for English-Chinese Transliteration
Although direct orthographic mapping has been shown to outperform phoneme-based methods in English-to-Chinese (E2C) transliteration, it is observed that phonological context plays an important role in resolving graphemic ambiguity. In this paper, we investigate the use of surface graphemic features to approximate local...
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
park-rim-2005-maximum
https://aclanthology.org/W05-0632
Maximum Entropy Based Semantic Role Labeling
The semantic role labeling (SRL) refers to finding the semantic relation (e.g. Agent, Patient, etc.) between a predicate and syntactic constituents in the sentences. Especially, with the argument information of the predicate, we can derive the predicateargument structures, which are useful for the applications such as ...
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gartner-etal-2015-multi
https://aclanthology.org/P15-4005
Multi-modal Visualization and Search for Text and Prosody Annotations
We present ICARUS for intonation, an interactive tool to browse and search automatically derived descriptions of fundamental frequency contours. It offers access to tonal features in combination with other annotation layers like part-ofspeech, syntax or coreference and visualizes them in a highly customizable graphical...
false
[]
[]
null
null
null
This work was funded by the German Federal Ministry of Education and Research (BMBF) via CLARIN-D, No. 01UG1120F and the German Research Foundation (DFG) via the SFB 732, project INF.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dobrovoljc-nivre-2016-universal
https://aclanthology.org/L16-1248
The Universal Dependencies Treebank of Spoken Slovenian
This paper presents the construction of an open-source dependency treebank of spoken Slovenian, the first syntactically annotated collection of spontaneous speech in Slovenian. The treebank has been manually annotated using the Universal Dependencies annotation scheme, a one-layer syntactic annotation scheme with a hig...
false
[]
[]
null
null
null
The work presented in this paper has been partially supported by the Young Researcher Programme of the Slovenian Research Agency and Parseme ICT COST Action IC1207 STSM grant.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jayanthi-pratapa-2021-study
https://aclanthology.org/2021.sigmorphon-1.6
A Study of Morphological Robustness of Neural Machine Translation
In this work, we analyze the robustness of neural machine translation systems towards grammatical perturbations in the source. In particular, we focus on morphological inflection related perturbations. While this has been recently studied for English→French translation (MORPHEUS) (Tan et al., 2020), it is unclear how t...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sleimi-gardent-2016-generating
https://aclanthology.org/W16-3511
Generating Paraphrases from DBPedia using Deep Learning
Recent deep learning approaches to Natural Language Generation mostly rely on sequence-to-sequence models. In these approaches, the input is treated as a sequence whereas in most cases, input to generation usually is either a tree or a graph. In this paper, we describe an experiment showing how enriching a sequential i...
false
[]
[]
null
null
null
We thank the French National Research Agency for funding the research presented in this paper in the context of the WebNLG project ANR-14-CE24-0033.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liberman-2018-corpus
https://aclanthology.org/W18-3801
Corpus Phonetics: Past, Present, and Future
Semi-automatic analysis of digital speech collections is transforming the science of phonetics, and offers interesting opportunities to researchers in other fields. Convenient search and analysis of large published bodies of recordings, transcripts, metadata, and annotations-as much as three or four orders of magnitude...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yuan-li-2007-breath
https://aclanthology.org/O07-3002
The Breath Segment in Expressive Speech
This paper, based on a selected one hour of expressive speech, is a pilot study on how to use breath segments to get more natural and expressive speech. It mainly deals with the status of when the breath segments occur and how the acoustic features are affected by the speaker 's emotional states in terms of valence and...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dsouza-etal-2021-semeval
https://aclanthology.org/2021.semeval-1.44
SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph
There is currently a gap between the natural language expression of scholarly publications and their structured semantic content modeling to enable intelligent content search. With the volume of research growing exponentially every year, a search feature operating over semantically structured content is compelling. The...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
We thank the anonymous reviewers for their comments and suggestions. This work was co-funded by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536) and by the TIB Leibniz Information Centre for Science and Technology.
2021
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
wilson-etal-2015-detection
https://aclanthology.org/D15-1307
Detection of Steganographic Techniques on Twitter
We propose a method to detect hidden data in English text. We target a system previously thought secure, which hides messages in tweets. The method brings ideas from image steganalysis into the linguistic domain, including the training of a feature-rich model for detection. To identify Twitter users guilty of steganogr...
false
[]
[]
null
null
null
This paper aims to attack CoverTweet statistically. We are in the shoes of the warden, attempting to classify stego objects from innocent 2 cover objects. We propose techniques new to linguistic steganalysis, including a large set of features that detect unusual and inconsistent use of language and the aggregation of e...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
linzen-jaeger-2014-investigating
https://aclanthology.org/W14-2002
Investigating the role of entropy in sentence processing
We outline four ways in which uncertainty might affect comprehension difficulty in human sentence processing. These four hypotheses motivate a self-paced reading experiment, in which we used verb subcategorization distributions to manipulate the uncertainty over the next step in the syntactic derivation (single step en...
false
[]
[]
null
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null
We thank Alec Marantz for discussion and Andrew Watts for technical assistance. This work was supported by an Alfred P. Sloan Fellowship to T. Florian Jaeger.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lawson-etal-2010-annotating
https://aclanthology.org/W10-0712
Annotating Large Email Datasets for Named Entity Recognition with Mechanical Turk
Amazon's Mechanical Turk service has been successfully applied to many natural language processing tasks. However, the task of named entity recognition presents unique challenges. In a large annotation task involving over 20,000 emails, we demonstrate that a compet itive bonus system and interannotator agree ment can b...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
srikumar-roth-2013-modeling
https://aclanthology.org/Q13-1019
Modeling Semantic Relations Expressed by Prepositions
This paper introduces the problem of predicting semantic relations expressed by prepositions and develops statistical learning models for predicting the relations, their arguments and the semantic types of the arguments. We define an inventory of 32 relations, building on the word sense disambiguation task for preposit...
false
[]
[]
null
null
null
The authors wish to thank Martha Palmer, Nathan Schneider, the anonymous reviewers and the editor for their valuable feedback. The authors gratefully acknowledge the support of the
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lin-etal-2006-information
https://aclanthology.org/N06-1059
An Information-Theoretic Approach to Automatic Evaluation of Summaries
null
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
may-knight-2007-syntactic
https://aclanthology.org/D07-1038
Syntactic Re-Alignment Models for Machine Translation
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation model than commonly-used word alignment models. This leads to extraction of more useful linguistic patterns and improved BLEU scores on transl...
false
[]
[]
null
null
null
We thank David Chiang, Steve DeNeefe, Alex Fraser, Victoria Fossum, Jonathan Graehl, Liang Huang, Daniel Marcu, Michael Pust, Oana Postolache, Michael Pust, Jason Riesa, Jens Vöckler, and Wei Wang for help and discussion. This research was supported by NSF (grant IIS-0428020) and DARPA (contract HR0011-06-C-0022).
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chiang-etal-2013-parsing
https://aclanthology.org/P13-1091
Parsing Graphs with Hyperedge Replacement Grammars
Hyperedge replacement grammar (HRG) is a formalism for generating and transforming graphs that has potential applications in natural language understanding and generation. A recognition algorithm due to Lautemann is known to be polynomial-time for graphs that are connected and of bounded degree. We present a more preci...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their helpful comments. This research was supported in part by ARO grant W911NF-10-1-0533.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
iordanskaja-etal-1992-generation
https://aclanthology.org/C92-3158
Generation of Extended Bilingual Statistical Reports
During tim past few years we liave been concerned with developing models for the automatic planning and realization of report texts wittlin technical sublanguages of English and French. Since 1987 we have been implementing Meaning-Text language models (MTMs) [6, 7] for the task of realizing sentences from semantic spec...
false
[]
[]
null
null
null
null
1992
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bianchi-etal-1993-undestanding
https://aclanthology.org/E93-1058
Undestanding Stories in Different Languages with GETA-RUN
null
false
[]
[]
null
null
null
null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
roukos-1993-automatic
https://aclanthology.org/H93-1092
Automatic Extraction of Grammars From Annotated Text
"lhe primary objective of this project is to develop a robust, high-performance parser for English by automatically extracting a grammar from an annotated corpus of bracketed sentences, called the Treebank. The project is a collaboration between the IBM Continuous Speech Recognition Group and the University of Pennsylv...
false
[]
[]
null
null
null
null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2019-modeling
https://aclanthology.org/P19-1619
Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions
Several deep learning models have been proposed for solving math word problems (MWPs) automatically. Although these models have the ability to capture features without manual efforts, their approaches to capturing features are not specifically designed for MWPs. To utilize the merits of deep learning models with simult...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
eyigoz-2010-tag
https://aclanthology.org/W10-4419
TAG Analysis of Turkish Long Distance Dependencies
All permutations of a two level embedding sentence in Turkish is analyzed, in order to develop an LTAG grammar that can account for Turkish long distance dependencies. The fact that Turkish allows only long distance topicalization and extraposition is shown to be connected to a condition-the coherence condition-that dr...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ma-etal-2018-challenging
https://aclanthology.org/N18-1185
Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog
This paper presents a new corpus and a robust deep learning architecture for a task in reading comprehension, passage completion, on multiparty dialog. Given a dialog in text and a passage containing factual descriptions about the dialog where mentions of the characters are replaced by blanks, the task is to fill the b...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
raux-eskenazi-2004-non
https://aclanthology.org/N04-1028
Non-Native Users in the Let's Go!! Spoken Dialogue System: Dealing with Linguistic Mismatch
This paper describes the CMU Let's Go!! bus information system, an experimental system designed to study the use of spoken dialogue interfaces by non-native speakers. The differences in performance of the speech recognition and language understanding modules of the system when confronted with native and non-native spon...
false
[]
[]
null
null
null
The authors would like to thank Alan W Black, Dan Bohus and Brian Langner for their help with this research.This material is based upon work supported by the U.S. National Science Foundation under Grant No. 0208835, "LET'S GO: improved speech interfaces for the general public". Any opinions, findings, and conclusions o...
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhao-liu-2010-cips
https://aclanthology.org/W10-4126
The CIPS-SIGHAN CLP2010 Chinese Word Segmentation Backoff
The CIPS-SIGHAN CLP 2010 Chinese Word Segmentation Bakeoff was held in the summer of 2010 to evaluate the current state of the art in word segmentation. It focused on the crossdomain performance of Chinese word segmentation algorithms. Eighteen groups submitted 128 results over two tracks (open training and closed trai...
false
[]
[]
null
null
null
This work is supported by the National Natural Science Foundation of China (Grant No. 90920004). We gratefully acknowledge the generous assistance of the organizations listed below who provided the data and the Chinese word segmentation standard for this bakeoff; without their support, it could not have taken place:Cit...
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
blanco-sarabi-2016-automatic
https://aclanthology.org/N16-1169
Automatic Generation and Scoring of Positive Interpretations from Negated Statements
This paper presents a methodology to extract positive interpretations from negated statements. First, we automatically generate plausible interpretations using well-known grammar rules and manipulating semantic roles. Second, we score plausible alternatives according to their likelihood. Manual annotations show that th...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rosenberg-2010-classification
https://aclanthology.org/N10-1109
Classification of Prosodic Events using Quantized Contour Modeling
We present Quantized Contour Modeling (QCM), a Bayesian approach to the classification of acoustic contours. We evaluate the performance of this technique in the classification of prosodic events. We find that, on BURNC, this technique can successfully classify pitch accents with 63.99% accuracy (.4481 CER), and phrase...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
brasoveanu-etal-2020-media
https://aclanthology.org/2020.conll-1.28
In Media Res: A Corpus for Evaluating Named Entity Linking with Creative Works
Annotation styles express guidelines that direct human annotators by explicitly stating the rules to follow when creating gold standard annotations of text corpora. These guidelines not only shape the gold standards they help create, but also influence the training and evaluation of Named Entity Linking (NEL) tools, si...
false
[]
[]
null
null
null
This research has been partially funded through the following projects: the ReTV project (www.retvproject.eu) funded by the European Union's Horizon 2020 Research and Innovation Programme (No. 780656), and MedMon (www.fhgr.ch/medmon) funded by the Swiss Innovation Agency Innosuisse.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jimenez-gutierrez-etal-2020-document
https://aclanthology.org/2020.findings-emnlp.332
Document Classification for COVID-19 Literature
The global pandemic has made it more important than ever to quickly and accurately retrieve relevant scientific literature for effective consumption by researchers in a wide range of fields. We provide an analysis of several multi-label document classification models on the LitCovid dataset, a growing collection of 23,...
true
[]
[]
Good Health and Well-Being
null
null
This research was sponsored in part by the Ohio Supercomputer Center (Center, 1987) . The authors would also like to thank Lang Li and Tanya Berger-Wolf for helpful discussions.
2020
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhao-etal-2021-efficient
https://aclanthology.org/2021.emnlp-main.354
Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy
Deep reinforcement learning has shown great potential in training dialogue policies. However, its favorable performance comes at the cost of many rounds of interaction. Most of the existing dialogue policy methods rely on a single learning system, while the human brain has two specialized learning and memory systems, s...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rios-kavuluru-2018-emr
https://aclanthology.org/N18-1189
EMR Coding with Semi-Parametric Multi-Head Matching Networks
Coding EMRs with diagnosis and procedure codes is an indispensable task for billing, secondary data analyses, and monitoring health trends. Both speed and accuracy of coding are critical. While coding errors could lead to more patient-side financial burden and misinterpretation of a patient's well-being, timely coding ...
false
[]
[]
null
null
null
Thanks to anonymous reviewers for their thorough reviews and constructive criticism that helped improve the clarity of the paper (especially leading to the addition of Section 3.5 in the revision). This research is supported by the U.S. National Library of Medicine through grant R21LM012274. We also gratefully acknowle...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dsouza-ng-2014-ensemble
https://aclanthology.org/C14-1159
Ensemble-Based Medical Relation Classification
Despite the successes of distant supervision approaches to relation extraction in the news domain, the lack of a comprehensive ontology of medical relations makes it difficult to apply such approaches to relation classification in the medical domain. In light of this difficulty, we propose an ensemble approach to this ...
true
[]
[]
Good Health and Well-Being
null
null
We thank the three anonymous reviewers for their detailed and insightful comments on an earlier draft of this paper. This work was supported in part by NSF Grants IIS-1147644 and IIS-1219142.
2014
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bateman-1999-using
https://aclanthology.org/P99-1017
Using aggregation for selecting content when generating referring expressions
Previous algorithms for the generation of referring expressions have been developed specifically for this purpose. Here we introduce an alternative approach based on a fully generic aggregation method also motivated for other generation tasks. We argue that the alternative contributes to a more integrated and uniform a...
false
[]
[]
null
null
null
This paper was improved by the anonymous comments of reviewers for both the ACL and the European Natural Language Generation Workshop (1999). Remaining errors and obscurities are my own.
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hautli-butt-2011-towards
https://aclanthology.org/W11-3412
Towards a Computational Semantic Analyzer for Urdu
This paper describes a first approach to a computational semantic analyzer for Urdu on the basis of the deep syntactic analysis done by the Urdu grammar ParGram. Apart from the semantic construction, external lexical resources such as an Urdu WordNet and a preliminary VerbNet style resource for Urdu are developed and c...
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
servan-etal-2012-liums
https://aclanthology.org/W12-3147
LIUM's SMT Machine Translation Systems for WMT 2012
This paper describes the development of French-English and English-French statistical machine translation systems for the 2012 WMT shared task evaluation. We developed phrase-based systems based on the Moses decoder, trained on the provided data only. Additionally, new features this year included improved language and ...
false
[]
[]
null
null
null
This work has been partially funded by the European Union under the EuroMatrixPlus project ICT-2007.2.2-FP7-231720 and the French government under the ANR project COSMAT ANR-09-CORD-004.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fernandez-gonzalez-martins-2015-parsing
https://aclanthology.org/P15-1147
Parsing as Reduction
We reduce phrase-based parsing to dependency parsing. Our reduction is grounded on a new intermediate representation, "head-ordered dependency trees," shown to be isomorphic to constituent trees. By encoding order information in the dependency labels, we show that any off-theshelf, trainable dependency parser can be us...
false
[]
[]
null
null
null
We would like to thank the three reviewers for their insightful comments, and Slav Petrov, Djamé Seddah, Yannick Versley, David Hall, Muhua Zhu, Lingpeng Kong, Carlos Gómez-Rodríguez, and Andreas van Cranenburgh for valuable feedback and help in preparing data and running software code. This research has been partially...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
caucheteux-etal-2021-model-based
https://aclanthology.org/2021.findings-emnlp.308
Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects
A popular approach to decompose the neural bases of language consists in correlating, across individuals, the brain responses to different stimuli (e.g. regular speech versus scrambled words, sentences, or paragraphs). Although successful, this 'model-free' approach necessitates the acquisition of a large and costly se...
false
[]
[]
null
null
null
This work was supported by the French ANR-20-CHIA-0016 and the European Research Council Starting Grant SLAB ERC-YStG-676943 to AG, and by the French ANR-17-EURE-0017 and the Fyssen Foundation to JRK for his work at PSL.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rao-etal-2017-scalable
https://aclanthology.org/W17-7547
Scalable Bio-Molecular Event Extraction System towards Knowledge Acquisition
This paper presents a robust system for the automatic extraction of bio-molecular events from scientific texts. Event extraction provides information in the understanding of physiological and pathogenesis mechanisms. Event extraction from biomedical literature has a broad range of applications, such as knowledge base c...
true
[]
[]
Good Health and Well-Being
null
null
null
2017
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yu-etal-2016-product
https://aclanthology.org/C16-1106
Product Review Summarization by Exploiting Phrase Properties
We propose a phrase-based approach for generating product review summaries. The main idea of our method is to leverage phrase properties to choose a subset of optimal phrases for generating the final summary. Specifically, we exploit two phrase properties, popularity and specificity. Popularity describes how popular th...
false
[]
[]
null
null
null
This work was partly supported by the National Basic Research Program (973 Program
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
adorni-massone-1984-production
https://aclanthology.org/1984.bcs-1.16
Production of sentences: a general algorithm and a case study
In this paper a procedure for the production of sentences is described, producing written sentences in a particular language starting from formal representations of their meaning. After a brief description of the internal representation used, the algorithm is presented, and some results and future trends are discussed.
false
[]
[]
null
null
null
Authors wish to thank Domenico Parisi and Alessandra Giorgi for their helpful comments and discussion, leading to the implementation of the algorithm.
1984
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ni-etal-2019-justifying
https://aclanthology.org/D19-1018
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
Several recent works have considered the problem of generating reviews (or 'tips') as a form of explanation as to why a recommendation might match a user's interests. While promising, we demonstrate that existing approaches struggle (in terms of both quality and content) to generate justifications that are relevant to ...
false
[]
[]
null
null
null
Acknowledgements. This work is partly supported by NSF #1750063. We thank all the reviewers for their constructive suggestions.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-etal-2021-retrack
https://aclanthology.org/2021.acl-demo.39
ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering
We present Retriever-Transducer-Checker (ReTraCk), a neural semantic parsing framework for large scale knowledge base question answering (KBQA). ReTraCk is designed as a modular framework to maintain high flexibility. It includes a retriever to retrieve relevant KB items efficiently, a transducer to generate logical fo...
false
[]
[]
null
null
null
We would like to thank Audrey Lin and Börje F. Karlsson for their constructive comments and useful suggestions, and all the anonymous reviewers for their helpful feedback. We also thank Yu Gu for evaluating our submissions on the test set of the GrailQA benchmark and sharing preprocessed data on GrailQA and WebQuestion...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
thieberger-2007-language
https://aclanthology.org/U07-1002
Does Language Technology Offer Anything to Small Languages?
The effort currently going into recording the smaller and perhaps more endangered languages of the world may result in computationally tractable documents in those languages, but to date there has not been a tradition of corpus creation for these languages. In this talk I will outline the language situation of Australi...
true
[]
[]
Reduced Inequalities
null
null
null
2007
false
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
kishimoto-etal-2014-post
https://aclanthology.org/2014.amta-wptp.15
Post-editing user interface using visualization of a sentence structure
Translation has become increasingly important by virtue of globalization. To reduce the cost of translation, it is necessary to use machine translation and further to take advantage of post-editing based on the result of a machine translation for accurate information dissemination. Such post-editing (e.g., PET [Aziz et...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
el-haj-etal-2018-profiling
https://aclanthology.org/L18-1726
Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger
In many areas of academic publishing, there is an explosion of literature, and subdivision of fields into subfields, leading to stove-piping where sub-communities of expertise become disconnected from each other. This is especially true in the genetics literature over the last 10 years where researchers are no longer a...
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
kolak-etal-2003-generative
https://aclanthology.org/N03-1018
A Generative Probabilistic OCR Model for NLP Applications
In this paper, we introduce a generative probabilistic optical character recognition (OCR) model that describes an end-to-end process in the noisy channel framework, progressing from generation of true text through its transformation into the noisy output of an OCR system. The model is designed for use in error correct...
false
[]
[]
null
null
null
This research was supported in part by National Science Foundation grant EIA0130422, Department of Defense contract RD-02-5700, DARPA/ITO Cooperative Agreement N660010028910, and Mitre agreement 010418-7712.We are grateful to Mohri et al. for the AT&T FSM Toolkit, Clarkson and Rosenfeld for CMU-Cambridge Toolkit, and D...
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lohk-etal-2016-experiences
https://aclanthology.org/2016.gwc-1.28
Experiences of Lexicographers and Computer Scientists in Validating Estonian Wordnet with Test Patterns
New concepts and semantic relations are constantly added to Estonian Wordnet (EstWN) to increase its size. In addition to this, with the use of test patterns, the validation of EstWN hierarchies is also performed. This parallel work was carried out over the past four years (2011-2014) with 10 different EstWN versions (...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gao-etal-2021-ream
https://aclanthology.org/2021.findings-acl.220
REAM$\sharp$: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation
The lack of reliable automatic evaluation metrics is a major impediment to the development of open-domain dialogue systems. Various reference-based metrics have been proposed to calculate a score between a predicted response and a small set of references. However, these metrics show unsatisfactory correlations with hum...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mari-2002-specification
https://aclanthology.org/W02-0803
Under-specification and contextual variability of abstract
In this paper we discuss some philosophical questions related to the treatment of abstract and underspecified prepositions. We consider three issues in particular: (i) the relation between sense and meanings, (ii) the privileged status of abstract meanings in the spectrum of contextual instantiations of basic senses, a...
false
[]
[]
null
null
null
Acknowledgments Many thanks to Patrick Saint-Dizier and Jacques Jayez for their careful readings and useful suggestions.
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kannan-santhi-ponnusamy-2020-tukapo
https://aclanthology.org/2020.semeval-1.95
T\"uKaPo at SemEval-2020 Task 6: Def(n)tly Not BERT: Definition Extraction Using pre-BERT Methods in a post-BERT World
We describe our system (TüKaPo) submitted for Task 6: DeftEval, at SemEval 2020. We developed a hybrid approach that combined existing CNN and RNN methods and investigated the impact of purely-syntactic and semantic features on the task of definition extraction, i.e, sentence classification. Our final model achieved a ...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lindahl-2020-annotating
https://aclanthology.org/2020.argmining-1.11
Annotating argumentation in Swedish social media
This paper presents a small study of annotating argumentation in Swedish social media. Annotators were asked to annotate spans of argumentation in 9 threads from two discussion forums. At the post level, Cohen's κ and Krippendorff's α 0.48 was achieved. When manually inspecting the annotations the annotators seemed to ...
false
[]
[]
null
null
null
The work presented here has been partly supported by an infrastructure grant to Språkbanken Text, University of Gothenburg, for contributing to building and operating a national e-infrastructure funded jointly by the participating institutions and the Swedish Research Council (under contract no. 2017-00626). We would a...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yan-pedersen-2017-duluth
https://aclanthology.org/S17-2064
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection
This paper describes the Duluth system that participated in SemEval-2017 Task 6 #HashtagWars: Learning a Sense of Humor. The system participated in Subtasks A and B using N-gram language models, ranking highly in the task evaluation. This paper discusses the results of our system in the development and evaluation stage...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-2021-codewithzichao
https://aclanthology.org/2021.dravidianlangtech-1.21
Codewithzichao@DravidianLangTech-EACL2021: Exploring Multilingual Transformers for Offensive Language Identification on Code Mixing Text
This paper describes our solution submitted to shared task on Offensive Language Identification in Dravidian Languages. We participated in all three of offensive language identification. In order to address the task, we explored multilingual models based on XLM-RoBERTa and multilingual BERT trained on mixed data of thr...
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
shinnou-1998-revision
https://link.springer.com/chapter/10.1007/3-540-49478-2_36
Revision of morphological analysis errors through the person name construction model
null
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
finegan-dollak-verma-2020-layout
https://aclanthology.org/2020.insights-1.9
Layout-Aware Text Representations Harm Clustering Documents by Type
Clustering documents by type-grouping invoices with invoices and articles with articles-is a desirable first step for organizing large collections of document scans. Humans approaching this task use both the semantics of the text and the document layout to assist in grouping like documents. Lay-outLM (Xu et al., 2019),...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their helpful comments, as well as Anik Saha for many discussions on LayoutLM's strengths and weaknesses for supervised tasks.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
khusainova-etal-2021-hierarchical
https://aclanthology.org/2021.vardial-1.2
Hierarchical Transformer for Multilingual Machine Translation
The choice of parameter sharing strategy in multilingual machine translation models determines how optimally parameter space is used and hence, directly influences ultimate translation quality. Inspired by linguistic trees that show the degree of relatedness between different languages, the new general approach to para...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ma-collins-2018-noise
https://aclanthology.org/D18-1405
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
Noise Contrastive Estimation (NCE) is a powerful parameter estimation method for loglinear models, which avoids calculation of the partition function or its derivatives at each training step, a computationally demanding step in many cases. It is closely related to negative sampling methods, now widely used in NLP. This...
false
[]
[]
null
null
null
The authors thank Emily Pitler and Ali Elkahky for many useful conversations about the work, and David Weiss for comments on an earlier draft of the paper.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
king-1980-human
https://aclanthology.org/C80-1042
Human Factors and Linguistic Considerations: Keys to High-Speed Chinese Character Input
With a keyboard and supporting system developed at Cornell University, input methods used to identify ideographs are adaptations of wellknown schemes; innovation is in the addition of automatic machine selection of ambiguously identified characters. The unique feature of the Cornell design is that a certain amount of i...
false
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[]
null
null
null
The work on which this paper was based received support from the NCR Corporation.
1980
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ma-way-2010-hmm
https://aclanthology.org/W10-3813
HMM Word-to-Phrase Alignment with Dependency Constraints
In this paper, we extend the HMM wordto-phrase alignment model with syntactic dependency constraints. The syntactic dependencies between multiple words in one language are introduced into the model in a bid to produce coherent alignments. Our experimental results on a variety of Chinese-English data show that our synta...
false
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[]
null
null
null
This research is supported by the Science Foundation Ireland (Grant 07/CE/I1142) as part of the Centre for Next Generation Localisation (www.cngl.ie) at Dublin City University. Part of the work was carried out at Cambridge University Engineering Department with Dr. William Byrne. The authors would also like to thank th...
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-etal-2019-long
https://aclanthology.org/N19-1306
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
We propose a distance supervised relation extraction approach for long-tailed, imbalanced data which is prevalent in real-world settings. Here, the challenge is to learn accurate "fewshot" models for classes existing at the tail of the class distribution, for which little data is available. Inspired by the rich semanti...
false
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[]
null
null
null
We want to express gratitude to the anonymous reviewers for their hard work and kind comments, which will further improve our work in the future.This work is funded by NSFC91846204/61473260, national key research program YS2018YFB140004, Alibaba CangJingGe (Knowledge Engine) Research Plan and Natural Science Foundation...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
braune-fraser-2010-improved
https://aclanthology.org/C10-2010
Improved Unsupervised Sentence Alignment for Symmetrical and Asymmetrical Parallel Corpora
We address the problem of unsupervised and language-pair independent alignment of symmetrical and asymmetrical parallel corpora. Asymmetrical parallel corpora contain a large proportion of 1-to-0/0-to-1 and 1-to-many/many-to-1 sentence correspondences. We have developed a novel approach which is fast and allows us to a...
false
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[]
null
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null
The first author was partially supported by the Hasler Stiftung 19 . Support for both authors was provided by Deutsche Forschungsgemeinschaft grants Models of Morphosyntax for Statistical Machine Translation and SFB 732.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
guibon-etal-2021-shot
https://aclanthology.org/2021.emnlp-main.549
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks
Several recent studies on dyadic humanhuman interactions have been done on conversations without specific business objectives. However, many companies might benefit from studies dedicated to more precise environments such as after sales services or customer satisfaction surveys. In this work, we place ourselves in the ...
false
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[]
null
null
null
This project has received funding from SNCF, the French National Research Agency's grant ANR-17-MAOI and the DSAIDIS chair at Télécom-Paris.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sazzed-2020-cross
https://aclanthology.org/2020.wnut-1.8
Cross-lingual sentiment classification in low-resource Bengali language
Sentiment analysis research in low-resource languages such as Bengali is still unexplored due to the scarcity of annotated data and the lack of text processing tools. Therefore, in this work, we focus on generating resources and showing the applicability of the crosslingual sentiment analysis approach in Bengali. For b...
false
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[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
suzuki-kumano-2005-learning
https://aclanthology.org/2005.mtsummit-papers.5
Learning Translations from Monolingual Corpora
This paper proposes a method for a machine translation (MT) system to automatically select and learn translation words, which suit the user's tastes or document fields by using a monolingual corpus manually compiled by the user, in order to achieve high-quality translation. We have constructed a system based on this me...
false
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[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
cassell-etal-2001-non
https://aclanthology.org/P01-1016
Non-Verbal Cues for Discourse Structure
This paper addresses the issue of designing embodied conversational agents that exhibit appropriate posture shifts during dialogues with human users. Previous research has noted the importance of hand gestures, eye gaze and head nods in conversations between embodied agents and humans. We present an analysis of human m...
false
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[]
null
null
null
This research was supported by MERL, France Telecom, AT&T, and the other generous sponsors of the MIT Media Lab. Thanks to the other members of the Gesture and Narrative Language Group, in particular Ian Gouldstone and Hannes Vilhjálmsson.
2001
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
klein-etal-2002-robust
https://aclanthology.org/C02-2017
Robust Interpretation of User Requests for Text Retrieval in a Multimodal Environment
We describe a parser for robust and flexible interpretation of user utterances in a multi-modal system for web search in newspaper databases. Users can speak or type, and they can navigate and follow links using mouse clicks. Spoken or written queries may combine search expressions with browser commands and search spac...
false
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[]
null
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null
This work was supported by the Austrian Science Fund (FWF) under project number P-13704. Financial support forÖFAI is provided by the Austrian Federal Ministry of Education, Science and Culture.
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nikoulina-etal-2012-hybrid
https://aclanthology.org/W12-5701
Hybrid Adaptation of Named Entity Recognition for Statistical Machine Translation
Appropriate Named Entity handling is important for Statistical Machine Translation. In this work we address the challenging issues of generalization and sparsity of NEs in the context of SMT. Our approach uses the source NE Recognition (NER) system to generalize the training data by replacing the recognized Named Entit...
false
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[]
null
null
null
This work was partially supported by the Organic.Lingua project (http://www.organiclingua.eu/), funded by the European Commission under the ICT Policy Support Programme (ICT PSP).
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
griesshaber-etal-2020-fine
https://aclanthology.org/2020.coling-main.100
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning
Recently, leveraging pre-trained Transformer based language models in down stream, task specific models has advanced state of the art results in natural language understanding tasks. However, only a little research has explored the suitability of this approach in low resource settings with less than 1,000 training data...
false
[]
[]
null
null
null
This research and development project is funded within the "Future of Work" Program by the German Federal Ministry of Education and Research (BMBF) and the European Social Fund in Germany. It is implemented by the Project Management Agency Karlsruhe (PTKA). The authors are responsible for the content of this publicatio...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
prazak-konopik-2019-ulsana
https://aclanthology.org/R19-1112
ULSAna: Universal Language Semantic Analyzer
We present a live cross-lingual system capable of producing shallow semantic annotations of natural language sentences for 51 languages at this time. The domain of the input sentences is in principle unconstrained. The system uses single training data (in English) for all the languages. The resulting semantic annotatio...
false
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[]
null
null
null
This publication was supported by the project LO1506 of the Czech Ministry of Education, Youth and Sports and by Grant No. SGS-2019-018 Processing of heterogeneous data and its specialized applications. Computational resources were provided by the CESNET LM2015042 and
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hsieh-etal-2017-monpa
https://aclanthology.org/I17-2014
MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network
Part-of-speech (POS) tagging and named entity recognition (NER) are crucial steps in natural language processing. In addition, the difficulty of word segmentation places extra burden on those who deal with languages such as Chinese, and pipelined systems often suffer from error propagation. This work proposes an endto-...
false
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[]
null
null
null
We are grateful for the constructive comments from three anonymous reviewers. This work was supported by grant MOST106-3114-E-001-002 from the Ministry of Science and Technology, Taiwan.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-2003-word
https://aclanthology.org/N03-3007
Word Fragments Identification Using Acoustic-Prosodic Features in Conversational Speech
Word fragments pose serious problems for speech recognizers. Accurate identification of word fragments will not only improve recognition accuracy, but also be very helpful for disfluency detection algorithm because the occurrence of word fragments is a good indicator of speech disfluencies. Different from the previous ...
false
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[]
null
null
null
The author gratefully acknowledges Mary Harper for her comments on this work. Part of this work was conducted at Purdue University and continued at ICSI where the author is supported by DARPA under contract MDA972-02-C-0038. Thank Elizabeth Shriberg, Andreas Stolcke and Luciana Ferrer at SRI for their advice and help w...
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kuhlmann-oepen-2016-squibs
https://aclanthology.org/J16-4009
Squibs: Towards a Catalogue of Linguistic Graph Banks
Graphs exceeding the formal complexity of rooted trees are of growing relevance to much NLP research. Although formally well understood in graph theory, there is substantial variation in the types of linguistic graphs, as well as in the interpretation of various structural properties. To provide a common terminology an...
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
madhyastha-etal-2016-mapping
https://aclanthology.org/W16-1612
Mapping Unseen Words to Task-Trained Embedding Spaces
We consider the supervised training setting in which we learn task-specific word embeddings. We assume that we start with initial embeddings learned from unlabelled data and update them to learn taskspecific embeddings for words in the supervised training data. However, for new words in the test set, we must use either...
false
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[]
null
null
null
We would like to thank the anonymous reviewers for their useful comments. This research was supported by a Google Faculty Research Award to Mohit Bansal, Karen Livescu and Kevin Gimpel.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false