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shapiro-1978-path-based
https://aclanthology.org/T78-1031
Path-Based and Node-Based Inference in Semantic Networks
Two styles of performing inference in semantic networks are presented and compared. Path-based inference allows an arc or a path of arcs between two given nodes to be inferred from the existence of another specified path between the same two nodes. Path-based inference rules may be written using a binary relational cal...
false
[]
[]
null
null
null
null
1978
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shnarch-etal-2020-unsupervised
https://aclanthology.org/2020.findings-emnlp.243
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
Approaching new data can be quite deterrent; you do not know how your categories of interest are realized in it, commonly, there is no labeled data at hand, and the performance of domain adaptation methods is unsatisfactory. Aiming to assist domain experts in their first steps into a new task over a new corpus, we pres...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yu-etal-2018-syntaxsqlnet
https://aclanthology.org/D18-1193
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task
Most existing studies in text-to-SQL tasks do not require generating complex SQL queries with multiple clauses or sub-queries, and generalizing to new, unseen databases. In this paper we propose SyntaxSQLNet, a syntax tree network to address the complex and crossdomain text-to-SQL generation task. Syn-taxSQLNet employs...
false
[]
[]
null
null
null
We thank Graham Neubig, Tianze Shi, and three anonymous reviewers for their helpful feedback and discussion on this work.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shen-etal-2017-conditional
https://aclanthology.org/P17-2080
A Conditional Variational Framework for Dialog Generation
Deep latent variable models have been shown to facilitate the response generation for open-domain dialog systems. However, these latent variables are highly randomized, leading to uncontrollable generated responses. In this paper, we propose a framework allowing conditional response generation based on specific attribu...
false
[]
[]
null
null
null
This work was supported by the National Natural Science of China under Grant No. 61602451, 61672445 and JSPS KAKENHI Grant Numbers 15H02754, 16K12546.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tursun-cakici-2017-noisy
https://aclanthology.org/W17-4412
Noisy Uyghur Text Normalization
Uyghur is the second largest and most actively used social media language in China. However, a non-negligible part of Uyghur text appearing in social media is unsystematically written with the Latin alphabet, and it continues to increase in size. Uyghur text in this format is incomprehensible and ambiguous even to nati...
false
[]
[]
null
null
null
We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for this research.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
baldridge-kruijff-2002-coupling
https://aclanthology.org/P02-1041
Coupling CCG and Hybrid Logic Dependency Semantics
Categorial grammar has traditionally used the λ-calculus to represent meaning. We present an alternative, dependency-based perspective on linguistic meaning and situate it in the computational setting. This perspective is formalized in terms of hybrid logic and has a rich yet perspicuous propositional ontology that ena...
false
[]
[]
null
null
null
We would like to thank Patrick Blackburn, Johan Bos, Nissim Francez, Alex Lascarides, Mark Steedman, Bonnie Webber and the ACL reviewers for helpful comments on earlier versions of this paper. All errors are, of course, our own. Jason Baldridge's work is supported in part by Overseas Research Student Award ORS/98014014...
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2021-retrieve
https://aclanthology.org/2021.findings-acl.39
Retrieve \& Memorize: Dialog Policy Learning with Multi-Action Memory
Dialogue policy learning, a subtask that determines the content of system response generation and then the degree of task completion, is essential for task-oriented dialogue systems. However, the unbalanced distribution of system actions in dialogue datasets often causes difficulty in learning to generate desired actio...
false
[]
[]
null
null
null
The paper was supported by the National Natural Science Foundation of China (No.61906217) and the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (No.2017ZT07X355).
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wu-etal-2019-open
https://aclanthology.org/D19-1021
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
Open relation extraction (OpenRE) aims to extract relational facts from the open-domain corpus. To this end, it discovers relation patterns between named entities and then clusters those semantically equivalent patterns into a united relation cluster. Most OpenRE methods typically confine themselves to unsupervised par...
false
[]
[]
null
null
null
This work is supported by the National Key Research and Development Program of China (No. 2018YFB1004503) and the National Natural Science Foundation of China (NSFC No. 61572273, 61661146007). Ruidong Wu is also supported by Tsinghua University Initiative Scientific Research Program.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sevgili-etal-2019-improving
https://aclanthology.org/P19-2044
Improving Neural Entity Disambiguation with Graph Embeddings
Entity Disambiguation (ED) is the task of linking an ambiguous entity mention to a corresponding entry in a knowledge base. Current methods have mostly focused on unstructured text data to learn representations of entities, however, there is structured information in the knowledge base itself that should be useful to d...
false
[]
[]
null
null
null
We thank the SRW mentor Matt Gardner and anonymous reviewers for their most useful feedback on this work. The work was partially supported by a Deutscher Akademischer Austauschdienst (DAAD) doctoral stipend and the DFGfunded JOIN-T project BI 1544/4.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2015-feature
https://aclanthology.org/P15-1110
Feature Optimization for Constituent Parsing via Neural Networks
The performance of discriminative constituent parsing relies crucially on feature engineering, and effective features usually have to be carefully selected through a painful manual process. In this paper, we propose to automatically learn a set of effective features via neural networks. Specifically, we build a feedfor...
false
[]
[]
null
null
null
We thank the anonymous reviewers for comments. Haitao Mi is supported by DARPA HR0011-12-C-0015 (BOLT) and Nianwen Xue is supported by DAPRA HR0011-11-C-0145 (BOLT). The views and findings in this paper are those of the authors and are not endorsed by the DARPA.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
das-bandyopadhyay-2010-towards
https://aclanthology.org/Y10-1092
Towards the Global SentiWordNet
The discipline where sentiment/opinion/emotion has been identified and classified in human written text is well known as sentiment analysis. A typical computational approach to sentiment analysis starts with prior polarity lexicons where entries are tagged with their prior out of context polarity as human beings percei...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
al-saleh-menai-2018-ant
https://aclanthology.org/C18-1062
Ant Colony System for Multi-Document Summarization
This paper proposes an extractive multi-document summarization approach based on an ant colony system to optimize the information coverage of summary sentences. The implemented system was evaluated on both English and Arabic versions of the corpus of the Text Analysis Conference 2011 MultiLing Pilot by using ROUGE metr...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
trippel-etal-2014-towards
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1011_Paper.pdf
Towards automatic quality assessment of component metadata
Measuring the quality of metadata is only possible by assessing the quality of the underlying schema and the metadata instance. We propose some factors that are measurable automatically for metadata according to the CMD framework, taking into account the variability of schemas that can be defined in this framework. The...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hori-etal-2004-evaluation
https://aclanthology.org/W04-1014
Evaluation Measures Considering Sentence Concatenation for Automatic Summarization by Sentence or Word Extraction
Automatic summaries of text generated through sentence or word extraction has been evaluated by comparing them with manual summaries generated by humans by using numerical evaluation measures based on precision or accuracy. Although sentence extraction has previously been evaluated based only on precision of a single s...
false
[]
[]
null
null
null
We thank NHK (Japan Broadcasting Corporation) for providing the broadcast news database. We also thank Prof. Sadaoki Furui at Tokyo Institute of Technology for providing the summaries of the broadcast news speech.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
salehi-etal-2016-determining
https://aclanthology.org/C16-1046
Determining the Multiword Expression Inventory of a Surprise Language
Much previous research on multiword expressions (MWEs) has focused on the token-and typelevel tasks of MWE identification and extraction, respectively. Such studies typically target known prevalent MWE types in a given language. This paper describes the first attempt to learn the MWE inventory of a "surprise" language ...
false
[]
[]
null
null
null
We wish to thank Long Duong for help with the transfer-based dependency parsing, Jan Snajder for his kind assistance with the Croatian annotation, and Dan Flickinger, Lars Hellan, Ned Letcher and João Silva for valuable advice in the early stages of development of this work. We would also like to thank the anonymous re...
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wu-etal-2003-totalrecall
https://aclanthology.org/O03-3005
TotalRecall: A Bilingual Concordance in National Digital Learning Project - CANDLE
This paper describes a Web-based English-Chinese concordance system, TotalRecall, being developed in National Digital Learning Project-CANDLE, to promote translation reuse and encourage authentic and idiomatic use in second language learning. We exploited and structured existing high-quality translations from the bilin...
false
[]
[]
null
null
null
We acknowledge the support for this study through grants from National Science Council and Ministry of Education, Taiwan (NSC 90-2411-H-007-033-MC and MOE EX-91-E-FA06-4-4) and a special grant for preparing the Sinorama Corpus for distribution by the Association for Computational Linguistics and Chinese Language Proces...
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chakrabarty-etal-2021-mermaid
https://aclanthology.org/2021.naacl-main.336
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
Generating metaphors is a challenging task as it requires a proper understanding of abstract concepts, making connections between unrelated concepts, and deviating from the literal meaning. In this paper, we aim to generate a metaphoric sentence given a literal expression by replacing relevant verbs. Based on a theoret...
false
[]
[]
null
null
null
This work was supported in part by the MCS program under Cooperative Agreement N66001-19-2-4032, and the CwC program under Contract W911NF-15-1-0543 with the US Defense Advanced Research Projects Agency (DARPA). The views expressed are those of the authors and do not reflect the official policy or position of the Depar...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
daille-morin-2005-french
https://aclanthology.org/I05-1062
French-English Terminology Extraction from Comparable Corpora
This article presents a method of extracting bilingual lexica composed of single-word terms (SWTs) and multi-word terms (MWTs) from comparable corpora of a technical domain. First, this method extracts MWTs in each language, and then uses statistical methods to align single words and MWTs by exploiting the term context...
false
[]
[]
null
null
null
We are particularly grateful to Samuel Dufour-Kowalski, who undertook the computer programs. This work has also benefited from his comments.
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
grundkiewicz-etal-2015-human
https://aclanthology.org/D15-1052
Human Evaluation of Grammatical Error Correction Systems
The paper presents the results of the first large-scale human evaluation of automatic grammatical error correction (GEC) systems. Twelve participating systems and the unchanged input of the CoNLL-2014 shared task have been reassessed in a WMT-inspired human evaluation procedure. Methods introduced for the Workshop of M...
false
[]
[]
null
null
null
Partially funded by the Polish National Science Centre (Grant No. 2014/15/N/ST6/02330).The authors would like to thank the following judges for their hard work on the ranking task: Sam Bennett, Peter Dunne, Stacia Levy, Kenneth Turner, and John Winward.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schrodt-2020-keynote
https://aclanthology.org/2020.aespen-1.3
Keynote Abstract: Current Open Questions for Operational Event Data
In this brief keynote, I will address what I see as five major issues in terms of development for operational event data sets (that is, event data intended for real time monitoring and forecasting, rather than purely for academic research). First, there are no currently active real time systems with fully open and tran...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
baquero-arnal-etal-2019-mllp
https://aclanthology.org/W19-5423
The MLLP-UPV Spanish-Portuguese and Portuguese-Spanish Machine Translation Systems for WMT19 Similar Language Translation Task
This paper describes the participation of the MLLP research group of the Universitat Politècnica de València in the WMT 2019 Similar Language Translation Shared Task. We have submitted systems for the Portuguese ↔ Spanish language pair, in both directions. They are based on the Transformer architecture as well as on a ...
false
[]
[]
null
null
null
The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 761758 X5gon
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
loukachevitch-dobrov-2004-development
http://www.lrec-conf.org/proceedings/lrec2004/pdf/343.pdf
Development of Bilingual Domain-Specific Ontology for Automatic Conceptual Indexing
In the paper we describe development, means of evaluation and applications of Russian-English Sociopolitical Thesaurus specially developed as a linguistic resource for automatic text processing applications. The Sociopolitical domain is not a domain of social research but a broad domain of social relations including ec...
false
[]
[]
null
null
null
Partial support for this work is provided by the Russian Foundation for Basic Research through grant # 03-01-00472.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
takamichi-saruwatari-2018-cpjd
https://aclanthology.org/L18-1067
CPJD Corpus: Crowdsourced Parallel Speech Corpus of Japanese Dialects
Public parallel corpora of dialects can accelerate related studies such as spoken language processing. Various corpora have been collected using a well-equipped recording environment, such as voice recording in an anechoic room. However, due to geographical and expense issues, it is impossible to use such a perfect rec...
false
[]
[]
null
null
null
Part of this work was supported by the SECOM Science and Technology Foundation.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jiang-zhai-2006-exploiting
https://aclanthology.org/N06-1010
Exploiting Domain Structure for Named Entity Recognition
Named Entity Recognition (NER) is a fundamental task in text mining and natural language understanding. Current approaches to NER (mostly based on supervised learning) perform well on domains similar to the training domain, but they tend to adapt poorly to slightly different domains. We present several strategies for e...
false
[]
[]
null
null
null
This work was in part supported by the National Science Foundation under award numbers 0425852, 0347933, and 0428472. We would like to thank Bruce Schatz, Xin He, Qiaozhu Mei, Xu Ling, and some other BeeSpace project members for useful discussions. We would like to thank Mark Sammons for his help with FEX. We would als...
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nn-1976-finite-string-volume-13-number-4
https://aclanthology.org/J76-2010
The FINITE STRING, Volume 13, Number 4 (continued)
Each year the federal government contracts for billions of dollars of work t o support efforts deemed t o be in the national interest. A significant percentage of the contract services are in the form of Research and ~e v e l o p m e n t (R & D) or programmatic work which colleges and universities are particularly wcll...
false
[]
[]
null
null
null
null
1976
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-1999-lexicon
https://aclanthology.org/Y99-1023
The Lexicon in FCIDB : A Friendly Chinese Interface for DBMS
FCIDB (Friendly Chinese Interface for DataBase management systems) can understand users' queries in the Chinese language. It works like a translator that translates Chinese queries into SQL commands. In the translation process, the lexicon of FCIDB plays a key role in both parsing and word segmentation. We designed som...
false
[]
[]
null
null
null
We carried out an experiment to explore the lexicon. We constructed two different databases and designed questionnaires to collect queries. The results helped us to identify which words we needed in the public and private lexicon.We still need to simplify the word definition process to make it easier for users to add t...
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mclauchlan-2004-thesauruses
https://aclanthology.org/W04-2410
Thesauruses for Prepositional Phrase Attachment
Probabilistic models have been effective in resolving prepositional phrase attachment ambiguity, but sparse data remains a significant problem. We propose a solution based on similarity-based smoothing, where the probability of new PPs is estimated with information from similar examples generated using a thesaurus. Thr...
false
[]
[]
null
null
null
Many thanks to Julie Weeds and Adam Kilgarriff for providing the specialist and WASPS thesauruses, and for useful discussions. Thanks also to the anonymous reviewers for many helpful comments.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
elkaref-hassan-2021-joint
https://aclanthology.org/2021.smm4h-1.16
A Joint Training Approach to Tweet Classification and Adverse Effect Extraction and Normalization for SMM4H 2021
In this work we describe our submissions to the Social Media Mining for Health (SMM4H) 2021 Shared Task (Magge et al., 2021). We investigated the effectiveness of a joint training approach to Task 1, specifically classification, extraction and normalization of Adverse Drug Effect (ADE) mentions in English tweets. Our a...
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
gu-etal-2018-language
https://aclanthology.org/D18-1493
Language Modeling with Sparse Product of Sememe Experts
Most language modeling methods rely on large-scale data to statistically learn the sequential patterns of words. In this paper, we argue that words are atomic language units but not necessarily atomic semantic units. Inspired by HowNet, we use sememes, the minimum semantic units in human languages, to represent the imp...
false
[]
[]
null
null
null
This work is supported by the 973 Program (No. 2014CB340501), the National Natural Science Foundation of China (NSFC No. 61572273) and the research fund of Tsinghua University-Tencent Joint Laboratory for Internet Innovation Technology. This work is also funded by China Association for Science and Technology (2016QNRC0...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-chen-2006-high
https://aclanthology.org/P06-2011
A High-Accurate Chinese-English NE Backward Translation System Combining Both Lexical Information and Web Statistics
Named entity translation is indispensable in cross language information retrieval nowadays. We propose an approach of combining lexical information, web statistics, and inverse search based on Google to backward translate a Chinese named entity (NE) into English. Our system achieves a high Top-1 accuracy of 87.6%, whic...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hopkins-may-2013-models
https://aclanthology.org/P13-1139
Models of Translation Competitions
What do we want to learn from a translation competition and how do we learn it with confidence? We argue that a disproportionate focus on ranking competition participants has led to lots of different rankings, but little insight about which rankings we should trust. In response, we provide the first framework that allo...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fischer-laubli-2020-whats
https://aclanthology.org/2020.eamt-1.23
What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT
Machine translation (MT) has been shown to produce a number of errors that require human post-editing, but the extent to which professional human translation (HT) contains such errors has not yet been compared to MT. We compile pretranslated documents in which MT and HT are interleaved, and ask professional translators...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nghiem-ananiadou-2018-aplenty
https://aclanthology.org/D18-2019
APLenty: annotation tool for creating high-quality datasets using active and proactive learning
In this paper, we present APLenty, an annotation tool for creating high-quality sequence labeling datasets using active and proactive learning. A major innovation of our tool is the integration of automatic annotation with active learning and proactive learning. This makes the task of creating labeled datasets easier, ...
false
[]
[]
null
null
null
This research has been carried out with funding from BBSRC BB/P025684/1 and BB/M006891/1. We would like to thank the anonymous reviewers for their helpful comments.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
naskar-bandyopadhyay-2005-use
https://aclanthology.org/2005.mtsummit-posters.21
Use of Machine Translation in India: Current Status
A survey of the machine translation systems that have been developed in India for translation from English to Indian languages and among Indian languages reveals that the MT softwares are used in field testing or are available as web translation service. These systems are also used for teaching machine translation to t...
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2005-web
https://aclanthology.org/I05-1046
Web-Based Unsupervised Learning for Query Formulation in Question Answering
Converting questions to effective queries is crucial to open-domain question answering systems. In this paper, we present a web-based unsupervised learning approach for transforming a given natural-language question to an effective query. The method involves querying a search engine for Web passages that contain the an...
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-bansal-2021-finding
https://aclanthology.org/2021.emnlp-main.531
Finding a Balanced Degree of Automation for Summary Evaluation
Human evaluation for summarization tasks is reliable but brings in issues of reproducibility and high costs. Automatic metrics are cheap and reproducible but sometimes poorly correlated with human judgment. In this work, we propose flexible semiautomatic to automatic summary evaluation metrics, following the Pyramid hu...
false
[]
[]
null
null
null
We thank the reviewers for their helpful comments. We thank Xiang Zhou for useful discussions and thank Steven Chen for proofreading SCUs for PyrXSum. This work was supported by NSF-CAREER Award 1846185.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
escudero-etal-2000-comparison
https://aclanthology.org/W00-0706
A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
This paper describes a set of comparative experiments, including cross-corpus evaluation, between five alternative algorithms for supervised Word Sense Disambiguation (WSD), namely Naive Bayes, Exemplar-based learning, SNOW, Decision Lists, and Boosting. Two main conclusions can be drawn: 1) The LazyBoosting algorithm ...
false
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[]
null
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2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
federmann-lewis-2016-microsoft
https://aclanthology.org/2016.iwslt-1.12
Microsoft Speech Language Translation (MSLT) Corpus: The IWSLT 2016 release for English, French and German
We describe the Microsoft Speech Language Translation (MSLT) corpus, which was created in order to evaluate endto-end conversational speech translation quality. The corpus was created from actual conversations over Skype, and we provide details on the recording setup and the different layers of associated text data. Th...
false
[]
[]
null
null
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null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-duh-2020-reproducible
https://aclanthology.org/2020.tacl-1.26
Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems
Hyperparameter selection is a crucial part of building neural machine translation (NMT) systems across both academia and industry. Fine-grained adjustments to a model's architecture or training recipe can mean the difference between a positive and negative research result or between a state-of-the-art and underperformi...
false
[]
[]
null
null
null
This work is supported in part by an Amazon Research Award and an IARPA MATERIAL grant. We are especially grateful to Michael Denkowski for helpful discussions and feedback throughout the project.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
angrosh-etal-2014-lexico
https://aclanthology.org/C14-1188
Lexico-syntactic text simplification and compression with typed dependencies
We describe two systems for text simplification using typed dependency structures, one that performs lexical and syntactic simplification, and another that performs sentence compression optimised to satisfy global text constraints such as lexical density, the ratio of difficult words, and text length. We report a subst...
false
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[]
null
null
null
This research is supported by an award made by the EPSRC; award reference: EP/J018805/1.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
meng-rumshisky-2018-triad
https://aclanthology.org/C18-1004
Triad-based Neural Network for Coreference Resolution
We propose a triad-based neural network system that generates affinity scores between entity mentions for coreference resolution. The system simultaneously accepts three mentions as input, taking mutual dependency and logical constraints of all three mentions into account, and thus makes more accurate predictions than ...
false
[]
[]
null
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null
This project is funded in part by an NSF CAREER award to Anna Rumshisky (IIS-1652742).
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
camargo-de-souza-etal-2013-fbk
https://aclanthology.org/W13-2243
FBK-UEdin Participation to the WMT13 Quality Estimation Shared Task
In this paper we present the approach and system setup of the joint participation of Fondazione Bruno Kessler and University of Edinburgh in the WMT 2013 Quality Estimation shared-task. Our submissions were focused on tasks whose aim was predicting sentence-level Human-mediated Translation Edit Rate and sentence-level ...
false
[]
[]
null
null
null
This work was partially funded by the European Commission under the project MateCat, Grant 287688. The authors want to thank Philipp Koehn for training two of the models used in Section 2.2.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rieser-lemon-2008-automatic
http://www.lrec-conf.org/proceedings/lrec2008/pdf/592_paper.pdf
Automatic Learning and Evaluation of User-Centered Objective Functions for Dialogue System Optimisation
The ultimate goal when building dialogue systems is to satisfy the needs of real users, but quality assurance for dialogue strategies is a non-trivial problem. The applied evaluation metrics and resulting design principles are often obscure, emerge by trial-and-error, and are highly context dependent. This paper introd...
false
[]
[]
null
null
null
This work was partially funded by the International Research Training Group Language Technology and Cognitive Systems, Saarland University, and by EPSRC project number EP/E019501/1. The research leading to these results has also received funding from the European Community's Seventh Framework Programme (FP7/2007(FP7/ -...
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ney-popovic-2004-improving
https://aclanthology.org/C04-1045
Improving Word Alignment Quality using Morpho-syntactic Information
In this paper, we present an approach to include morpho-syntactic dependencies into the training of the statistical alignment models. Existing statistical translation systems usually treat different derivations of the same base form as they were independent of each other. We propose a method which explicitly takes into...
false
[]
[]
null
null
null
We assume that the method can be very effective for cases where only small amount of data is available. We also expect further improvements by performing a special modelling for the rare words.We are planning to investigate possibilities of improving the alignment quality for different language pairs using different ty...
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
woodley-etal-2006-natural
https://aclanthology.org/U06-1026
Natural Language Processing and XML Retrieval
XML information retrieval (XML-IR) systems respond to user queries with results more specific than documents. XML-IR queries contain both content and structural requirements traditionally expressed in a formal language. However, an intuitive alternative is natural language queries (NLQs). Here, we discuss three approac...
false
[]
[]
null
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null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gulati-2015-extracting
https://aclanthology.org/W15-5921
Extracting Information from Indian First Names
First name of a person can tell important demographic and cultural information about that person. This paper proposes statistical models for extracting vital information that is gender, religion and name validity from Indian first names. Statistical models combine some classical features like ngrams and Levenshtein dis...
false
[]
[]
null
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
devault-stone-2004-interpreting
https://aclanthology.org/C04-1181
Interpreting Vague Utterances in Context
We use the interpretation of vague scalar predicates like small as an illustration of how systematic semantic models of dialogue context enable the derivation of useful, fine-grained utterance interpretations from radically underspecified semantic forms. Because dialogue context suffices to determine salient alternativ...
false
[]
[]
null
null
null
We thank Kees van Deemter and our anonymous reviewers for valuable comments. This work was supported by NSF grant HLC 0308121.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fell-etal-2020-love
https://aclanthology.org/2020.lrec-1.262
Love Me, Love Me, Say (and Write!) that You Love Me: Enriching the WASABI Song Corpus with Lyrics Annotations
We present the WASABI Song Corpus, a large corpus of songs enriched with metadata extracted from music databases on the Web, and resulting from the processing of song lyrics and from audio analysis. More specifically, given that lyrics encode an important part of the semantics of a song, we focus here on the descriptio...
false
[]
[]
null
null
null
This work is partly funded by the French Research National Agency (ANR) under the WASABI project (contract ANR-16-CE23-0017-01) and by the EU Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 690974 (MIREL).
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shi-etal-2021-keyword
https://aclanthology.org/2021.ecnlp-1.5
Keyword Augmentation via Generative Methods
Keyword augmentation is a fundamental problem for sponsored search modeling and business. Machine generated keywords can be recommended to advertisers for better campaign discoverability as well as used as features for sourcing and ranking models. Generating highquality keywords is difficult, especially for cold campai...
false
[]
[]
null
null
null
We would like to thank to Hongyu Zhu, Weiming Wu, Barry Bai, Hirohisa Fujita for their help to set up the online A/B testing, and all the reviewers for their valuable suggestions.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kanerva-etal-2014-turku
https://aclanthology.org/S14-2121
Turku: Broad-Coverage Semantic Parsing with Rich Features
In this paper we introduce our system capable of producing semantic parses of sentences using three different annotation formats. The system was used to participate in the SemEval-2014 Shared Task on broad-coverage semantic dependency parsing and it was ranked third with an overall F 1-score of 80.49%. The system has a...
false
[]
[]
null
null
null
This work was supported by the Emil Aaltonen Foundation and the Kone Foundation. Computational resources were provided by CSC -IT Center for Science.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
miller-etal-2008-infrastructure
http://www.lrec-conf.org/proceedings/lrec2008/pdf/805_paper.pdf
An Infrastructure, Tools and Methodology for Evaluation of Multicultural Name Matching Systems
This paper describes a Name Matching Evaluation Laboratory that is a joint effort across multiple projects. The lab houses our evaluation infrastructure as well as multiple name matching engines and customized analytical tools. Included is an explanation of the methodology used by the lab to carry out evaluations. This...
false
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[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
van-der-meer-2010-thousand
https://aclanthology.org/2010.eamt-1.3
Let a Thousand MT Systems Bloom
Looking into the future, I see a thousand MT systems blooming. I see fortune for the translation industry, and new solutions to overcome failed translations. I see a better world due to improved communications among the world's seven billion citizens. And the reason why I am so optimistic is that the process of data ef...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
carl-etal-2005-reversible
https://aclanthology.org/2005.mtsummit-ebmt.3
Reversible Template-based Shake \& Bake Generation
Corpus-based MT systems that analyse and generalise texts beyond the surface forms of words require generation tools to regenerate the various internal representations into valid target language (TL) sentences. While the generation of word-forms from lemmas is probably the last step in every text generation process at ...
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jiang-etal-2016-encoding
https://aclanthology.org/D16-1260
Encoding Temporal Information for Time-Aware Link Prediction
Most existing knowledge base (KB) embedding methods solely learn from time-unknown fact triples but neglect the temporal information in the knowledge base. In this paper, we propose a novel time-aware KB embedding approach taking advantage of the happening time of facts. Specifically, we use temporal order constraints ...
false
[]
[]
null
null
null
This research is supported by National Key Basic Research Program of China (No.2014CB340504) and National Natural Science Foundation of China (No.61375074,61273318). The contact author for this paper is Baobao Chang and Zhifang Sui.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lee-etal-2017-mit
https://aclanthology.org/S17-2171
MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
Over 50 million scholarly articles have been published: they constitute a unique repository of knowledge. In particular, one may infer from them relations between scientific concepts. Artificial neural networks have recently been explored for relation extraction. In this work, we continue this line of work and present ...
false
[]
[]
null
null
null
The authors would like to thank the ScienceIE organizers as well as the anonymous reviewers. The project was supported by Philips Research. The content is solely the responsibility of the authors and does not necessarily represent the official views of Philips Research.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
meza-ruiz-riedel-2009-jointly
https://aclanthology.org/N09-1018
Jointly Identifying Predicates, Arguments and Senses using Markov Logic
In this paper we present a Markov Logic Network for Semantic Role Labelling that jointly performs predicate identification, frame disambiguation, argument identification and argument classification for all predicates in a sentence. Empirically we find that our approach is competitive: our best model would appear on par...
false
[]
[]
null
null
null
The authors are grateful to Mihai Surdeanu for providing the version of the corpus used in this work.
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
doukhan-etal-2012-designing
http://www.lrec-conf.org/proceedings/lrec2012/pdf/876_Paper.pdf
Designing French Tale Corpora for Entertaining Text To Speech Synthesis
Text and speech corpora for training a tale telling robot have been designed, recorded and annotated. The aim of these corpora is to study expressive storytelling behaviour, and to help in designing expressive prosodic and co-verbal variations for the artificial storyteller). A set of 89 children tales in French serves...
false
[]
[]
null
null
null
This work has been funded by the French project GV-LEx (ANR-08-CORD-024 http://www.gvlex.com).
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tang-etal-2020-syntactic
https://aclanthology.org/2020.findings-emnlp.69
Syntactic and Semantic-driven Learning for Open Information Extraction
One of the biggest bottlenecks in building accurate, high coverage neural open IE systems is the need for large labelled corpora. The diversity of open domain corpora and the variety of natural language expressions further exacerbate this problem. In this paper, we propose a syntactic and semantic-driven learning appro...
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
shen-etal-2020-blank
https://aclanthology.org/2020.emnlp-main.420
Blank Language Models
We propose Blank Language Model (BLM), a model that generates sequences by dynamically creating and filling in blanks. The blanks control which part of the sequence to expand, making BLM ideal for a variety of text editing and rewriting tasks. The model can start from a single blank or partially completed text with bla...
false
[]
[]
null
null
null
We thank all reviewers and the MIT NLP group for their thoughtful feedback.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kim-riloff-2015-stacked
https://aclanthology.org/W15-3807
Stacked Generalization for Medical Concept Extraction from Clinical Notes
The goal of our research is to extract medical concepts from clinical notes containing patient information. Our research explores stacked generalization as a metalearning technique to exploit a diverse set of concept extraction models. First, we create multiple models for concept extraction using a variety of informati...
true
[]
[]
Good Health and Well-Being
null
null
This research was supported in part by the National Science Foundation under grant IIS-1018314.
2015
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
choi-etal-1994-yanhui
https://aclanthology.org/O94-1002
Yanhui (宴會), a Softwre Based High Performance Mandarin Text-To-Speech System
null
false
[]
[]
null
null
null
null
1994
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tian-etal-2014-um
http://www.lrec-conf.org/proceedings/lrec2014/pdf/774_Paper.pdf
UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation
Parallel corpus is a valuable resource for cross-language information retrieval and data-driven natural language processing systems, especially for Statistical Machine Translation (SMT). However, most existing parallel corpora to Chinese are subject to in-house use, while others are domain specific and limited in size....
false
[]
[]
null
null
null
The authors would like to thank all reviewers for the very careful reading and helpful suggestions. The authors are grateful to the Science and Technology Development Fund of Macau and the Research Committee of the University of Macau for the funding support for their research, under the
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fomicheva-etal-2016-cobaltf
https://aclanthology.org/W16-2339
CobaltF: A Fluent Metric for MT Evaluation
The vast majority of Machine Translation (MT) evaluation approaches are based on the idea that the closer the MT output is to a human reference translation, the higher its quality. While translation quality has two important aspects, adequacy and fluency, the existing referencebased metrics are largely focused on the f...
false
[]
[]
null
null
null
This work was partially funded by TUNER (TIN2015-65308-C5-5-R) and MINECO/FEDER, UE. Marina Fomicheva was supported by funding from the FI-DGR grant program of the Generalitat de Catalunya. Iria da Cunha was supported by a Ramón y Cajal contract (RYC-2014-16935). Lucia Specia was supported by the QT21 project (H2020 No...
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
abzaliev-2019-gap
https://aclanthology.org/W19-3816
On GAP Coreference Resolution Shared Task: Insights from the 3rd Place Solution
This paper presents the 3rd-place-winning solution to the GAP coreference resolution shared task. The approach adopted consists of two key components: fine-tuning the BERT language representation model (Devlin et al., 2018) and the usage of external datasets during the training process. The model uses hidden states fro...
false
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[]
null
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null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
slawik-etal-2014-kit
https://aclanthology.org/2014.iwslt-evaluation.17
The KIT translation systems for IWSLT 2014
In this paper, we present the KIT systems participating in the TED translation tasks of the IWSLT 2014 machine translation evaluation. We submitted phrase-based translation systems for all three official directions, namely English→German, German→English, and English→French, as well as for the optional directions Englis...
false
[]
[]
null
null
null
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n • 287658.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pedersen-etal-2010-merging
http://www.lrec-conf.org/proceedings/lrec2010/pdf/200_Paper.pdf
Merging Specialist Taxonomies and Folk Taxonomies in Wordnets - A case Study of Plants, Animals and Foods in the Danish Wordnet
In this paper we investigate the problem of merging specialist taxonomies with the more intuitive folk taxonomies in lexical-semantic resources like wordnets; and we focus in particular on plants, animals and foods. We show that a traditional dictionary like Den Danske Ordbog (DDO) survives well with several inconsiste...
false
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[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chambers-jurafsky-2011-template
https://aclanthology.org/P11-1098
Template-Based Information Extraction without the Templates
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data, to learn to extract their slot fillers (e.g., an embassy is the Target of a Bombing template). This paper describes an approach to template-based IE that removes this requirement and performs ...
false
[]
[]
null
null
null
This work was supported by the National Science Foundation IIS-0811974, and this material is also based upon work supported by the Air Force Research Laboratory (AFRL) under prime contract no. FA8750-09-C-0181. Any opinions, findings, and conclusion or recommendations expressed in this material are those of the authors...
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2015-learning-domain
https://aclanthology.org/W15-4654
Learning Domain-Independent Dialogue Policies via Ontology Parameterisation
This paper introduces a novel approach to eliminate the domain dependence of dialogue state and action representations, such that dialogue policies trained based on the proposed representation can be transferred across different domains. The experimental results show that the policy optimised in a restaurant search dom...
false
[]
[]
null
null
null
The authors would like to thank David Vandyke, Milica Gašić and Steve Young for providing the BUDS system and the simulator, as well as for their help in setting up the crowdsourcing experiments.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tatsumi-etal-2012-good
https://aclanthology.org/2012.amta-wptp.8
How Good Is Crowd Post-Editing? Its Potential and Limitations
This paper is a partial report of a research effort on evaluating the effect of crowdsourced post-editing. We first discuss the emerging trend of crowd-sourced postediting of machine translation output, along with its benefits and drawbacks. Second, we describe the pilot study we have conducted on a platform that facil...
false
[]
[]
null
null
null
This project was funded by International Affairs Division at Toyohashi University of Technology, and we would like to give special thanks to all the members of International Affairs Division for their support during the project. We are also thankful to Dr. Anthony Hartley for his support on conducting the experiment.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
habash-etal-2006-challenges
https://aclanthology.org/2006.amta-papers.7
Challenges in Building an Arabic-English GHMT System with SMT Components
The research context of this paper is developing hybrid machine translation (MT) systems that exploit the advantages of linguistic rule-based and statistical MT systems. Arabic, as a morphologically rich language, is especially challenging even without addressing the hybridization question. In this paper, we describe t...
false
[]
[]
null
null
null
This work has been supported, in part, under Army Research
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aralikatte-etal-2021-ellipsis
https://aclanthology.org/2021.eacl-main.68
Ellipsis Resolution as Question Answering: An Evaluation
Most, if not all forms of ellipsis (e.g., 'so does Mary') are similar to reading comprehension questions ('what does Mary do'), in that in order to resolve them, we need to identify an appropriate text span in the preceding discourse. Following this observation, we present an alternative approach for English ellipsis r...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
borg-gatt-2017-morphological
https://aclanthology.org/W17-1304
Morphological Analysis for the Maltese Language: The challenges of a hybrid system
Maltese is a morphologically rich language with a hybrid morphological system which features both concatenative and non-concatenative processes. This paper analyses the impact of this hybridity on the performance of machine learning techniques for morphological labelling and clustering. In particular, we analyse a data...
false
[]
[]
null
null
null
The authors acknowledge the insight and expertise of Prof. Ray Fabri. The research work disclosed in this publication is partially funded by the Malta Government Scholarship Scheme grant.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2017-bibi
https://aclanthology.org/W17-5404
BIBI System Description: Building with CNNs and Breaking with Deep Reinforcement Learning
This paper describes our submission to the sentiment analysis sub-task of "Build It, Break It: The Language Edition (BIBI)", on both the builder and breaker sides. As a builder, we use convolutional neural nets, trained on both phrase and sentence data. As a breaker, we use Q-learning to learn minimal change pairs, and...
false
[]
[]
null
null
null
We would like to thank the three anonymous reviewers for their helpful feedback and suggestions, and to Meng Fang for assisting with the implementation of the RL system.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nakazawa-2015-promoting
https://aclanthology.org/2015.mtsummit-wpslt.5
Promoting science and technology exchange using machine translation
There are plenty of useful scientific and technical documents which are written in languages other than English, and are referenced domestically. Accessing these domestic documents in other countries is very important in order to know what has been accomplished and what is needed next in the science and technology fiel...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
null
2015
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
summers-sawaf-2010-user
https://aclanthology.org/2010.amta-government.8
User-generated System for Critical Document Triage and Exploitation--Version 2011
null
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2019-multi-hop
https://aclanthology.org/D19-5813
Do Multi-hop Readers Dream of Reasoning Chains?
General Question Answering (QA) systems over texts require the multi-hop reasoning capability, i.e. the ability to reason with information collected from multiple passages to derive the answer. In this paper we conduct a systematic analysis to assess such an ability of various existing models proposed for multi-hop QA ...
false
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[]
null
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We thank the anonymous reviewers for their very valuable comments and suggestions.
2019
false
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false
versley-2007-antecedent
https://aclanthology.org/D07-1052
Antecedent Selection Techniques for High-Recall Coreference Resolution
We investigate methods to improve the recall in coreference resolution by also trying to resolve those definite descriptions where no earlier mention of the referent shares the same lexical head (coreferent bridging). The problem, which is notably harder than identifying coreference relations among mentions which have ...
false
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null
Acknowledgements I am very grateful to Sabine Schulte im Walde, Piklu Gupta and Sandra Kübler for useful criticism of an earlier version, and to Simone Ponzetto and Michael Strube for feedback on a talk related to this paper. The research reported in this paper was supported by the Deutsche Forschungsgemeinschaft (DFG)...
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
xu-etal-2021-probing
https://aclanthology.org/2021.naacl-main.7
Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers
Due to its effectiveness and performance, the Transformer translation model has attracted wide attention, most recently in terms of probing-based approaches. Previous work focuses on using or probing source linguistic features in the encoder. To date, the way word translation evolves in Transformer layers has not yet b...
false
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null
We thank anonymous reviewers for their insightful comments. Hongfei Xu acknowledges the support of China Scholarship Council ([2018
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhao-etal-2017-n
https://aclanthology.org/W17-5907
N-gram Model for Chinese Grammatical Error Diagnosis
Detection and correction of Chinese grammatical errors have been two of major challenges for Chinese automatic grammatical error diagnosis. This paper presents an N-gram model for automatic detection and correction of Chinese grammatical errors in NLPTEA 2017 task. The experiment results show that the proposed method i...
false
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2017
false
false
false
false
false
false
false
false
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false
false
false
false
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false
false
false
li-etal-2020-low
https://aclanthology.org/2020.ccl-1.92
Low-Resource Text Classification via Cross-lingual Language Model Fine-tuning
Text classification tends to be difficult when data are inadequate considering the amount of manually labeled text corpora. For low-resource agglutinative languages including Uyghur, Kazakh, and Kyrgyz (UKK languages), in which words are manufactured via stems concatenated with several suffixes and stems are used as th...
false
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null
null
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null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yeh-etal-2016-grammatical
https://aclanthology.org/W16-4918
Grammatical Error Detection Based on Machine Learning for Mandarin as Second Language Learning
Mandarin is not simple language for foreigner. Even using Mandarin as the mother tongue, they have to spend more time to learn when they were child. The following issues are the reason why causes learning problem. First, the word is envolved by Hieroglyphic. So a character can express meanings independently, but become...
false
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2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gildea-etal-2006-factoring
https://aclanthology.org/P06-2036
Factoring Synchronous Grammars by Sorting
Synchronous Context-Free Grammars (SCFGs) have been successfully exploited as translation models in machine translation applications. When parsing with an SCFG, computational complexity grows exponentially with the length of the rules, in the worst case. In this paper we examine the problem of factorizing each rule of ...
false
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null
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null
Acknowledgments This work was partially supported by NSF ITR IIS-09325646 and NSF ITR IIS-0428020.
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
han-etal-2004-subcategorization
https://aclanthology.org/C04-1104
Subcategorization Acquisition and Evaluation for Chinese Verbs
This paper describes the technology and an experiment of subcategorization acquisition for Chinese verbs. The SCF hypotheses are generated by means of linguistic heuristic information and filtered via statistical methods. Evaluation on the acquisition of 20 multi-pattern verbs shows that our experiment achieved the sim...
false
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2004
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
papay-etal-2018-addressing
https://aclanthology.org/W18-1204
Addressing Low-Resource Scenarios with Character-aware Embeddings
Most modern approaches to computing word embeddings assume the availability of text corpora with billions of words. In this paper, we explore a setup where only corpora with millions of words are available, and many words in any new text are out of vocabulary. This setup is both of practical interest-modeling the situa...
false
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null
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null
Acknowledgments. Partial funding for this study was provided by Deutsche Forschungsgemeinschaft (project PA 1956/4-1).
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
georgi-etal-2015-enriching
https://aclanthology.org/W15-3709
Enriching Interlinear Text using Automatically Constructed Annotators
In this paper, we will demonstrate a system that shows great promise for creating Part-of-Speech taggers for languages with little to no curated resources available, and which needs no expert involvement. Interlinear Glossed Text (IGT) is a resource which is available for over 1,000 languages as part of the Online Data...
false
[]
[]
null
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null
This work is supported by the National Science Foundation Grant BCS-0748919. We would also like to thank Balthasar Bickel and his team for allowing us to use the Chintang data set in our experiments, and our three anonymous reviewers for the helpful feedback.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wahlster-etal-1978-glancing
https://aclanthology.org/J78-3004
Glancing, Referring and Explaining in the Dialogue System HAM-RPM
P r o j e c t : 'Simulat ion of Language Understand1 ng ' Germanisches Seminar der U n i v e r s i t a t Hamburg von-Melle-Park 6 , D-2000 Hamburg 13, West Getmany SUMMARY T h i s paper tocusses on t h r e e components oft h e d i a l o g u e system HAM-KYM, which converses i n n a t u r a l language about v i s i b l ...
false
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[]
null
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null
1978
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
false
molins-lapalme-2015-jsrealb
https://aclanthology.org/W15-4719
JSrealB: A Bilingual Text Realizer for Web Programming
JSrealB is an English and French text realizer written in JavaScript to ease its integration in web applications. The realization engine is mainly rule-based. Table driven rules are defined for inflection and algorithmic propagation rules, for agreements. It allows its user to build a variety of French and English expr...
false
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null
2015
false
false
false
false
false
false
false
false
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false
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false
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false
false
steedman-2013-robust
https://aclanthology.org/U13-1001
Robust Computational Semantics
Practical tasks like question answering and machine translational ultimately require computing meaning representations that support inference. Standard linguistic accounts of meaning are impracticable for such purposes, both because they assume nonmonotonic operations such as quantifier movement, and because they lack ...
false
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2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
coto-solano-etal-2021-towards
https://aclanthology.org/2021.udw-1.2
Towards Universal Dependencies for Bribri
This paper presents a first attempt to apply Universal Dependencies (Nivre et al., 2016; de Marneffe et al., 2021) to Bribri, an Indigenous language from Costa Rica belonging to the Chibchan family. There is limited previous work on Bribri NLP, so we also present a proposal for a dependency parser, as well as a listing...
false
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null
null
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null
2021
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
false
rhyne-2020-reconciling
https://aclanthology.org/2020.scil-1.51
Reconciling historical data and modern computational models in corpus creation
We live in a time of unprecedented access to linguistic data, from audio recordings to corpora of billions of words. Linguists have used these resources to advance their research and understanding of language. Historical linguistics, despite being the oldest linguistic subfield, has lagged behind in this regard. Howeve...
false
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null
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2020
false
false
false
false
false
false
false
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false
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false
false
false
surdeanu-etal-2015-two
https://aclanthology.org/N15-3001
Two Practical Rhetorical Structure Theory Parsers
We describe the design, development, and API for two discourse parsers for Rhetorical Structure Theory. The two parsers use the same underlying framework, but one uses features that rely on dependency syntax, produced by a fast shift-reduce parser, whereas the other uses a richer feature space, including both constitue...
false
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null
This work was funded by the DARPA Big Mechanism program under ARO contract W911NF-14-1-0395.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
cercas-curry-etal-2021-convabuse
https://aclanthology.org/2021.emnlp-main.587
ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI
We present the first English corpus study on abusive language towards three conversational AI systems gathered 'in the wild': an opendomain social bot, a rule-based chatbot, and a task-based system. To account for the complexity of the task, we take a more 'nuanced' approach where our ConvAI dataset reflects fine-grain...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
This research received funding from the EPSRC project 'Designing Conversational Assistants to Reduce Gender Bias' (EP/T023767/1). The authors would like to thank Juules Bare, Lottie Basil, Susana Demelas, Maina Flintham Hjelde, Lauren Galligan, Lucile Logan, Megan McElhone, MollieMcLean and the reviewers for their help...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
hakkani-tur-2015-keynote
https://aclanthology.org/W15-4628
Keynote: Graph-based Approaches for Spoken Language Understanding
Following an upsurge in mobile device usage and improvements in speech recognition performance, multiple virtual personal assistant systems have emerged, and have been widely adopted by users. While these assistants proved to be beneficial, their usage has been limited to certain scenarios and domains, with underlying ...
false
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null
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null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bak-oh-2019-variational
https://aclanthology.org/D19-1202
Variational Hierarchical User-based Conversation Model
Generating appropriate conversation responses requires careful modeling of the utterances and speakers together. Some recent approaches to response generation model both the utterances and the speakers, but these approaches tend to generate responses that are overly tailored to the speakers. To overcome this limitation...
false
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[]
null
null
null
We would like to thank the anonymous reviewers for helpful questions and comments. This work was supported by IITP grant funded by the Korea government (MSIT) (No.2017-0-01779, XAI).
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yuan-2006-language
https://aclanthology.org/Y06-1056
Language Model Based on Word Clustering
Category-based statistic language model is an important method to solve the problem of sparse data. But there are two bottlenecks about this model: (1) the problem of word clustering, it is hard to find a suitable clustering method that has good performance and not large amount of computation. (2) class-based method al...
false
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[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dingli-etal-2003-mining
https://aclanthology.org/E03-1011
Mining Web Sites Using Unsupervised Adaptive Information Extraction
Adaptive Information Extraction systems (IES) are currently used by some Semantic Web (SW) annotation tools as support to annotation (Handschuh et al., 2002; Vargas-Vera et al., 2002) . They are generally based on fully supervised methodologies requiring fairly intense domain-specific annotation. Unfortunately, selecti...
false
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null
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
palakurthi-etal-2015-classification
https://aclanthology.org/R15-1065
Classification of Attributes in a Natural Language Query into Different SQL Clauses
Attribute information in a natural language query is one of the key features for converting a natural language query into a Structured Query Language 1 (SQL) in Natural Language Interface to Database systems. In this paper, we explore the task of classifying the attributes present in a natural language query into diffe...
false
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[]
null
null
null
We would like to thank the anonymous reviewers for the valuable feedback on this work. This research was supported in part by the Information Technology Research Academy (ITRA), Government of India under ITRA-Mobile grant ITRA/15(62)/Mobile/VAMD/01. Any opinions, findings, conclusions or recommendations expressed in th...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ishiwatari-etal-2019-learning
https://aclanthology.org/N19-1350
Learning to Describe Unknown Phrases with Local and Global Contexts
When reading a text, it is common to become stuck on unfamiliar words and phrases, such as polysemous words with novel senses, rarely used idioms, internet slang, or emerging entities. If we humans cannot figure out the meaning of those expressions from the immediate local context, we consult dictionaries for definitio...
false
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[]
null
null
null
The authors are grateful to Thanapon Noraset for sharing the details of his implementation of the previous work. We also thank the anonymous reviewers for their careful reading of our paper and insightful comments, and the members of Kitsuregawa-Toyoda-Nemoto-Yoshinaga-Goda laboratory in the University of Tokyo for pro...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-styler-2013-anafora
https://aclanthology.org/N13-3004
Anafora: A Web-based General Purpose Annotation Tool
Anafora is a newly-developed open source web-based text annotation tool built to be lightweight, flexible, easy to use and capable of annotating with a variety of schemas, simple and complex. Anafora allows secure web-based annotation of any plaintext file with both spanned (e.g. named entity or markable) and relation ...
false
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[]
null
null
null
The development of this annotation tool was supported by award numbers NLM R0110090 (THYME) and 90TR002 (SHARP), as well as DARPA FA8750-09-C-0179 (via BBN) Machine Reading. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NLM/NIH or DARPA. We would al...
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gracia-etal-2014-enabling
http://www.lrec-conf.org/proceedings/lrec2014/pdf/863_Paper.pdf
Enabling Language Resources to Expose Translations as Linked Data on the Web
Language resources, such as multilingual lexica and multilingual electronic dictionaries, contain collections of lexical entries in several languages. Having access to the corresponding explicit or implicit translation relations between such entries might be of great interest for many NLP-based applications. By using S...
false
[]
[]
null
null
null
Acknowledgements. We are very thankful to AETER and AENOR for making Terminesp data available. We also thank Javier Bezos, from FUNDEU, for his assistance with the data. Some ideas contained in this paper were inspired after fruitful discussions with other members of the W3C Ontology-Lexica community group. This work i...
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false