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candito-constant-2014-strategies
https://aclanthology.org/P14-1070
Strategies for Contiguous Multiword Expression Analysis and Dependency Parsing
In this paper, we investigate various strategies to predict both syntactic dependency parsing and contiguous multiword expression (MWE) recognition, testing them on the dependency version of French Treebank (Abeillé and Barrier, 2004), as instantiated in the SPMRL Shared Task (Seddah et al., 2013). Our work focuses on ...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ws-1998-treatment
https://aclanthology.org/W98-0600
The Computational Treatment of Nominals
iii Toni Badia and Roser Sauri The Representation of Syntactically Unexpressed Complements to Nouns .........
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pavalanathan-eisenstein-2015-confounds
https://aclanthology.org/D15-1256
Confounds and Consequences in Geotagged Twitter Data
Twitter is often used in quantitative studies that identify geographically-preferred topics, writing styles, and entities. These studies rely on either GPS coordinates attached to individual messages, or on the user-supplied location field in each profile. In this paper, we compare these data acquisition techniques and...
false
[]
[]
null
null
null
Acknowledgments Thanks to the anonymous reviewers for their useful and constructive feedback on our submission. The following members of the Georgia Tech Computational Linguistics Laboratory offered feedback throughout the research process: Naman Goyal, Yangfeng Ji, Vinodh Krishan, Ana Smith, Yijie Wang, and Yi Yang. T...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-bunescu-2017-exploration
https://aclanthology.org/I17-2075
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering
The automation of tasks in community question answering (cQA) is dominated by machine learning approaches, whose performance is often limited by the number of training examples. Starting from a neural sequence learning approach with attention, we explore the impact of two data augmentation techniques on question rankin...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their helpful comments. This work was supported by an allocation of computing time from the Ohio Supercomputer Center.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
surana-chinagundi-2022-ginius
https://aclanthology.org/2022.ltedi-1.43
giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDI
This paper describes team giniUs' submission to the Hope Speech Detection for Equality, Diversity and Inclusion Shared Task organised by LT-EDI ACL 2022. We have fine-tuned the RoBERTa-large pre-trained model and extracted the last four Decoder layers to build a binary classifier. Our best result on the leaderboard ach...
true
[]
[]
Good Health and Well-Being
null
null
null
2022
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
okabe-etal-2005-query
https://aclanthology.org/H05-1121
Query Expansion with the Minimum User Feedback by Transductive Learning
Query expansion techniques generally select new query terms from a set of top ranked documents. Although a user's manual judgment of those documents would much help to select good expansion terms, it is difficult to get enough feedback from users in practical situations. In this paper we propose a query expansion techn...
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-2012-exploiting
https://aclanthology.org/C12-2128
Exploiting Discourse Relations for Sentiment Analysis
The overall sentiment of a text is critically affected by its discourse structure. By splitting a text into text spans with different discourse relations, we automatically train the weights of different relations in accordance with their importance, and then make use of discourse structure knowledge to improve sentimen...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nimb-2004-corpus
http://www.lrec-conf.org/proceedings/lrec2004/pdf/284.pdf
A Corpus-based Syntactic Lexicon for Adverbs
A word class often neglected in the field of NLP resources, namely adverbs, has lately been described in a computational lexicon produced at CST as one of the results of a Ph.D.-project. The adverb lexicon, which is integrated in the Danish STO lexicon, gives detailed syntactic information on the type of modification a...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
muis-etal-2018-low
https://aclanthology.org/C18-1007
Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort
The use of machine learning for NLP generally requires resources for training. Tasks performed in a low-resource language usually rely on labeled data in another, typically resource-rich, language. However, there might not be enough labeled data even in a resource-rich language such as English. In such cases, one appro...
false
[]
[]
null
null
null
We acknowledge NIST for coordinating the SF type evaluation and providing the test data. NIST serves to coordinate the evaluations in order to support research and to help advance the state-of-the-art. NIST evaluations are not viewed as a competition, and such results reported by NIST are not to be construed, or repres...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhong-etal-2019-closer
https://aclanthology.org/D19-5410
A Closer Look at Data Bias in Neural Extractive Summarization Models
In this paper, we take stock of the current state of summarization datasets and explore how different factors of datasets influence the generalization behaviour of neural extractive summarization models. Specifically, we first propose several properties of datasets, which matter for the generalization of summarization ...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
karamanolakis-etal-2020-txtract
https://aclanthology.org/2020.acl-main.751
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories
Extracting structured knowledge from product profiles is crucial for various applications in e-Commerce. State-of-the-art approaches for knowledge extraction were each designed for a single category of product, and thus do not apply to real-life e-Commerce scenarios, which often contain thousands of diverse categories....
false
[]
[]
null
null
null
The authors would like to sincerely thank Ron Benson, Christos Faloutsos, Andrey Kan, Yan Liang, Yaqing Wang, and Tong Zhao for their insightful comments on the paper, and Gabriel Blanco, Alexandre Manduca, Saurabh Deshpande, Jay Ren, and Johanna Umana for their constructive feedback on data integration for the experim...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
leung-etal-2016-developing
https://aclanthology.org/W16-5403
Developing Universal Dependencies for Mandarin Chinese
This article proposes a Universal Dependency Annotation Scheme for Mandarin Chinese, including POS tags and dependency analysis. We identify cases of idiosyncrasy of Mandarin Chinese that are difficult to fit into the current schema which has mainly been based on the descriptions of various Indo-European languages. We ...
false
[]
[]
null
null
null
This work was supported by a grant from the PROCORE-France/Hong Kong Joint Research Scheme sponsored by the Research Grants Council and the Consulate General of France in Hong Kong (Reference No.: F-CityU107/15 and N° 35322RG); and by a Strategic Research Grant (Project No. 7004494) from City University of Hong Kong.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mondal-etal-2021-classification
https://aclanthology.org/2021.smm4h-1.29
Classification of COVID19 tweets using Machine Learning Approaches
The reported work is a description of our participation in the "Classification of COVID19 tweets containing symptoms" shared task, organized by the "Social Media Mining for Health Applications (SMM4H)" workshop. The literature describes two machine learning approaches that were used to build a threeclass classification...
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
gero-etal-2022-sparks
https://aclanthology.org/2022.in2writing-1.12
Sparks: Inspiration for Science Writing using Language Models
Large-scale language models are rapidly improving, performing well on a variety of tasks with little to no customization. In this work we investigate how language models can support science writing, a challenging writing task that is both open-ended and highly constrained. We present a system for generating "sparks", s...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
null
2022
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
zhang-etal-2019-paws
https://aclanthology.org/N19-1131
PAWS: Paraphrase Adversaries from Word Scrambling
Existing paraphrase identification datasets lack sentence pairs that have high lexical overlap without being paraphrases. Models trained on such data fail to distinguish pairs like flights from New York to Florida and flights from Florida to New York. This paper introduces PAWS (Paraphrase Adversaries from Word Scrambl...
false
[]
[]
null
null
null
We would like to thank our anonymous reviewers and the Google AI Language team, especially Emily Pitler, for the insightful comments that contributed to this paper. Many thanks also to the Data Compute team, especially Ashwin Kakarla and Henry Jicha, for their help with the annotations
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sassano-kurohashi-2010-using
https://aclanthology.org/P10-1037
Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing
We investigate active learning methods for Japanese dependency parsing. We propose active learning methods of using partial dependency relations in a given sentence for parsing and evaluate their effectiveness empirically. Furthermore, we utilize syntactic constraints of Japanese to obtain more labeled examples from pr...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers and Tomohide Shibata for their valuable comments.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shimorina-belz-2022-human
https://aclanthology.org/2022.humeval-1.6
The Human Evaluation Datasheet: A Template for Recording Details of Human Evaluation Experiments in NLP
This paper presents the Human Evaluation Datasheet (HEDS), a template for recording the details of individual human evaluation experiments in Natural Language Processing (NLP), and reports on first experience of researchers using HEDS sheets in practice. Originally taking inspiration from seminal papers by Bender and F...
false
[]
[]
null
null
null
null
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hayes-2004-publisher
https://aclanthology.org/W04-3109
Publisher Perspective on Broad Full-text Literature Access for Text Mining in Academic and Corporate Endeavors
There is a great deal of interest in obtaining access to the vast stores of full-text literature held by the various publishers. The need to balance a reduction of the restrictions on access with the protection of the revenue streams of the publishers is critical. Without the publishers, the content would not be availa...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
null
2004
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
schloder-fernandez-2014-role
https://aclanthology.org/W14-4321
The Role of Polarity in Inferring Acceptance and Rejection in Dialogue
We study the role that logical polarity plays in determining the rejection or acceptance function of an utterance in dialogue. We develop a model inspired by recent work on the semantics of negation and polarity particles and test it on annotated data from two spoken dialogue corpora: the Switchboard Corpus and the AMI...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2007-forest
https://aclanthology.org/P07-1089
Forest-to-String Statistical Translation Rules
In this paper, we propose forest-to-string rules to enhance the expressive power of tree-to-string translation models. A forestto-string rule is capable of capturing nonsyntactic phrase pairs by describing the correspondence between multiple parse trees and one string. To integrate these rules into tree-to-string trans...
false
[]
[]
null
null
null
This work was supported by National Natural Science Foundation of China, Contract No. 60603095 and 60573188.
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
junczys-dowmunt-grundkiewicz-2014-amu
https://aclanthology.org/W14-1703
The AMU System in the CoNLL-2014 Shared Task: Grammatical Error Correction by Data-Intensive and Feature-Rich Statistical Machine Translation
Statistical machine translation toolkits like Moses have not been designed with grammatical error correction in mind. In order to achieve competitive results in this area, it is not enough to simply add more data. Optimization procedures need to be customized, task-specific features should be introduced. Only then can ...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wu-etal-2011-answering
https://aclanthology.org/I11-1107
Answering Complex Questions via Exploiting Social Q\&A Collection
This paper regards social Q&A collections, such as Yahoo! Answer as a knowledge repository and investigates techniques to mine knowledge from them for improving a sentence-based complex question answering (QA) system. In particular, we present a question-type-specific method (QTSM) that studies at extracting question-t...
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
swanson-yamangil-2012-correction
https://aclanthology.org/N12-1037
Correction Detection and Error Type Selection as an ESL Educational Aid
We present a classifier that discriminates between types of corrections made by teachers of English in student essays. We define a set of linguistically motivated feature templates for a log-linear classification model, train this classifier on sentence pairs extracted from the Cambridge Learner Corpus, and achieve 89%...
true
[]
[]
Quality Education
null
null
null
2012
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
federico-etal-2011-overview
https://aclanthology.org/2011.iwslt-evaluation.1
Overview of the IWSLT 2011 evaluation campaign
We report here on the eighth Evaluation Campaign organized by the IWSLT workshop. This year, the IWSLT evaluation focused on the automatic translation of public talks and included tracks for speech recognition, speech translation, text translation, and system combination. Unlike previous years, all data supplied for th...
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
preotiuc-pietro-ungar-2018-user
https://aclanthology.org/C18-1130
User-Level Race and Ethnicity Predictors from Twitter Text
User demographic inference from social media text has the potential to improve a range of downstream applications, including real-time passive polling or quantifying demographic bias. This study focuses on developing models for user-level race and ethnicity prediction. We introduce a data set of users who self-report t...
false
[]
[]
null
null
null
The authors acknowledge the support of the Templeton Religion Trust, grant TRT-0048.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2014-annotating
http://www.lrec-conf.org/proceedings/lrec2014/pdf/250_Paper.pdf
Annotating Relation Mentions in Tabloid Press
This paper presents a new resource for the training and evaluation needed by relation extraction experiments. The corpus consists of annotations of mentions for three semantic relations: marriage, parent-child, siblings, selected from the domain of biographic facts about persons and their social relationships. The corp...
false
[]
[]
null
null
null
This research was partially supported by the German Federal Ministry of Education and Research (BMBF) through the project Deependance (contract 01IW11003) and by Google through a Focused Research Award for the project LUcKY granted in July 2013.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
resnik-etal-2013-using
https://aclanthology.org/D13-1133
Using Topic Modeling to Improve Prediction of Neuroticism and Depression in College Students
We investigate the value-add of topic modeling in text analysis for depression, and for neuroticism as a strongly associated personality measure. Using Pennebaker's Linguistic Inquiry and Word Count (LIWC) lexicon to provide baseline features, we show that straightforward topic modeling using Latent Dirichlet Allocatio...
true
[]
[]
Good Health and Well-Being
Quality Education
null
We are grateful to Jamie Pennebaker for the LIWC lexicon and for allowing us to use data from Pennebaker and King (1999) and Rude et al. (2004), to the three psychologists who kindly took the time to provide human ratings, and to our reviewers for helpful comments. This work has been supported in part by NSF grant IIS-...
2013
false
false
true
true
false
false
false
false
false
false
false
false
false
false
false
false
false
sowa-1979-semantics
https://aclanthology.org/P79-1010
Semantics of Conceptual Graphs
Conceptual graphs are both a language for representing knowledge and patterns for constructing models. They form models in the AI sense of structures that approximate some actual or possible system in the real world. They also form models in the logical sense of structures for which some set of axioms are true. When co...
false
[]
[]
null
null
null
null
1979
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zelasko-2018-expanding
https://aclanthology.org/L18-1295
Expanding Abbreviations in a Strongly Inflected Language: Are Morphosyntactic Tags Sufficient?
In this paper, the problem of recovery of morphological information lost in abbreviated forms is addressed with a focus on highly inflected languages. Evidence is presented that the correct inflected form of an expanded abbreviation can in many cases be deduced solely from the morphosyntactic tags of the context. The p...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mihalcea-moldovan-1999-method
https://aclanthology.org/P99-1020
A Method for Word Sense Disambiguation of Unrestricted Text
Selecting the most appropriate sense for an ambiguous word in a sentence is a central problem in Natural Language Processing. In this paper, we present a method that attempts to disambiguate all the nouns, verbs, adverbs and adjectives in a text, using the senses provided in WordNet. The senses are ranked using two sou...
false
[]
[]
null
null
null
null
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ben-abacha-zweigenbaum-2011-medical
https://aclanthology.org/W11-0207
Medical Entity Recognition: A Comparaison of Semantic and Statistical Methods
Medical Entity Recognition is a crucial step towards efficient medical texts analysis. In this paper we present and compare three methods based on domain-knowledge and machine-learning techniques. We study two research directions through these approaches: (i) a first direction where noun phrases are extracted in a firs...
true
[]
[]
Good Health and Well-Being
null
null
This work has been partially supported by OSEO under the Quaero program.
2011
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vincze-almasi-2014-non
https://aclanthology.org/W14-0116
Non-Lexicalized Concepts in Wordnets: A Case Study of English and Hungarian
Here, we investigate non-lexicalized synsets found in the Hungarian wordnet, and compare them to the English one, in the context of wordnet building principles. We propose some strategies that may be used to overcome difficulties concerning non-lexicalized synsets in wordnets constructed using the expand method. It is ...
false
[]
[]
null
null
null
This work was in part supported by the European Union and co-funded by the European Social Fund through the project Telemedicine-focused research activities in the fields of mathematics, informatics and medical sciences (grant no.: TÁMOP-4.2.2.A-11/1/KONV-2012-0073).
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dillinger-seligman-2006-conversertm
https://aclanthology.org/W06-3706
Converser\mbox$^\mboxTM$: Highly Interactive Speech-to-Speech Translation for Healthcare
We describe a highly interactive system for bidirectional, broad-coverage spoken language communication in the healthcare area. The paper briefly reviews the system's interactive foundations, and then goes on to discuss in greater depth our Translation Shortcuts facility, which minimizes the need for interactive verifi...
true
[]
[]
Good Health and Well-Being
null
null
null
2006
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dadu-pant-2020-sarcasm
https://aclanthology.org/2020.figlang-1.6
Sarcasm Detection using Context Separators in Online Discourse
Sarcasm is an intricate form of speech, where meaning is conveyed implicitly. Being a convoluted form of expression, detecting sarcasm is an assiduous problem. The difficulty in recognition of sarcasm has many pitfalls, including misunderstandings in everyday communications, which leads us to an increasing focus on aut...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jardine-teufel-2014-topical
https://aclanthology.org/E14-1053
Topical PageRank: A Model of Scientific Expertise for Bibliographic Search
We model scientific expertise as a mixture of topics and authority. Authority is calculated based on the network properties of each topic network. ThemedPageRank, our combination of LDA-derived topics with PageRank differs from previous models in that topics influence both the bias and transition probabilities of PageR...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
merlo-1997-attaching
https://aclanthology.org/W97-0317
Attaching Multiple Prepositional Phrases: Backed-off Estimation Generalized
There has recently been considerable interest in the use of lexically-based statistical techniques to resolve prepositional phrase attachments. To our knowledge, however, these investigations have only considered the problem of attaching the first PP, i.e., in a IV NP PP] configuration. In this paper, we consider one t...
false
[]
[]
null
null
null
We gratefully acknowledge the support of the British Council and the Swiss National Science Foundation on grant 83BC044708 to the first two authors, and on grant 12-43283.95 and fellowship 8210-46569 from the Swiss NSF to the first author. We thank the audiences at Edinburgh and Pennsylvania for their useful comments. ...
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
louis-newman-2012-summarization
https://aclanthology.org/C12-2075
Summarization of Business-Related Tweets: A Concept-Based Approach
We present a method for summarizing the collection of tweets related to a business. Our procedure aggregates tweets into subtopic clusters which are then ranked and summarized by a few representative tweets from each cluster. Central to our approach is the ability to group diverse tweets into clusters. The broad cluste...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
koufakou-scott-2020-lexicon
https://aclanthology.org/2020.trac-1.24
Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language
Detecting abusive language is a significant research topic, which has received a lot of attention recently. Our work focuses on detecting personal attacks in online conversations. As previous research on this task has largely used deep learning based on embeddings, we explore the use of lexicons to enhance embedding-ba...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
We gratefully acknowledge the Google Cloud Platform (GCP) research credits program and the TensorFlow Research Cloud (TFRC) program.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
nguyen-etal-2010-nonparametric
https://aclanthology.org/C10-1092
Nonparametric Word Segmentation for Machine Translation
We present an unsupervised word segmentation model for machine translation. The model uses existing monolingual segmentation techniques and models the joint distribution over source sentence segmentations and alignments to the target sentence. During inference, the monolingual segmentation model and the bilingual word ...
false
[]
[]
null
null
null
We thank Kevin Gimpel for interesting discussions and technical advice. We also thank the anonymous reviewers for useful feedback. This work was supported by DARPA Gale project, NSF grants 0844507 and 0915187.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lazaridou-etal-2016-red
https://aclanthology.org/P16-2035
The red one!: On learning to refer to things based on discriminative properties
As a first step towards agents learning to communicate about their visual environment, we propose a system that, given visual representations of a referent (CAT) and a context (SOFA), identifies their discriminative attributes, i.e., properties that distinguish them (has_tail). Moreover, although supervision is only pr...
false
[]
[]
null
null
null
This work was supported by ERC 2011 Starting Independent Research Grant n. 283554 (COM-POSES). We gratefully acknowledge the support of NVIDIA Corporation with the donation of the GPUs used for this research.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
torabi-asr-demberg-2012-implicitness
https://aclanthology.org/C12-1163
Implicitness of Discourse Relations
The annotations of explicit and implicit discourse connectives in the Penn Discourse Treebank make it possible to investigate on a large scale how different types of discourse relations are expressed. Assuming an account of the Uniform Information Density hypothesis, we expect that discourse relations should be express...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
batista-navarro-ananiadou-2011-building
https://aclanthology.org/W11-0210
Building a Coreference-Annotated Corpus from the Domain of Biochemistry
One of the reasons for which the resolution of coreferences has remained a challenging information extraction task, especially in the biomedical domain, is the lack of training data in the form of annotated corpora. In order to address this issue, we developed the HANAPIN corpus. It consists of full-text articles from ...
true
[]
[]
Good Health and Well-Being
Industry, Innovation and Infrastructure
null
The UK National Centre for Text Mining is funded by the UK Joint Information Systems Committee (JISC). The authors would also like to acknowledge the Office of the Chancellor, in collaboration with the Office of the Vice-Chancellor for Research and Development, of the University of the Philippines Diliman for funding s...
2011
false
false
true
false
false
false
false
false
true
false
false
false
false
false
false
false
false
mogele-etal-2006-smartweb
http://www.lrec-conf.org/proceedings/lrec2006/pdf/277_pdf.pdf
SmartWeb UMTS Speech Data Collection: The SmartWeb Handheld Corpus
In this paper we outline the German speech data collection for the SmartWeb project, which is funded by the German Ministry of Science and Education. We focus on the SmartWeb Handheld Corpus (SHC), which has been collected by the Bavarian Archive for Speech Signals (BAS) at the Phonetic Institute (IPSK) of Munich Unive...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mao-etal-2021-lightweight
https://aclanthology.org/2021.acl-long.226
Lightweight Cross-Lingual Sentence Representation Learning
Large-scale models for learning fixeddimensional cross-lingual sentence representations like LASER (Artetxe and Schwenk, 2019b) lead to significant improvement in performance on downstream tasks. However, further increases and modifications based on such large-scale models are usually impractical due to memory limitati...
false
[]
[]
null
null
null
We would like to thank all the reviewers for their valuable comments and suggestions to improve this paper. This work was partially supported by Grantin-Aid for Young Scientists #19K20343, JSPS.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
boyd-graber-etal-2012-besting
https://aclanthology.org/D12-1118
Besting the Quiz Master: Crowdsourcing Incremental Classification Games
Cost-sensitive classification, where the features used in machine learning tasks have a cost, has been explored as a means of balancing knowledge against the expense of incrementally obtaining new features. We introduce a setting where humans engage in classification with incrementally revealed features: the collegiate...
false
[]
[]
null
null
null
We thank the many players who played our online quiz bowl to provide our data (and hopefully had fun doing so) and Carlo Angiuli, Arnav Moudgil, and Jerry Vinokurov for providing access to quiz bowl questions. This research was supported by NSF grant #1018625. Jordan Boyd-Graber is also supported by the Army Research L...
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kovatchev-etal-2021-vectors
https://aclanthology.org/2021.acl-long.96
Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability
In this paper we implement and compare 7 different data augmentation strategies for the task of automatic scoring of children's ability to understand others' thoughts, feelings, and desires (or "mindreading"). We recruit in-domain experts to re-annotate augmented samples and determine to what extent each strategy prese...
true
[]
[]
Quality Education
null
null
We would like to thank Imogen Grumley Traynor and Irene Luque Aguilera for the annotation and the creation of the lists of synonyms and phrases. We also want to thank the anonymous reviewers for their feedback and suggestions. This project was funded by a grant from Wellcome to R. T. Devine.
2021
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
qin-etal-2021-dont
https://aclanthology.org/2021.emnlp-main.182
Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System
Consistency Identification has obtained remarkable success on open-domain dialogue, which can be used for preventing inconsistent response generation. However, in contrast to the rapid development in open-domain dialogue, few efforts have been made to the task-oriented dialogue direction. In this paper, we argue that c...
false
[]
[]
null
null
null
This work was supported by the National Key R&D Program of China via grant 2020AAA0106501 and the National Natural Science Foundation of China (NSFC) via grant 61976072 and 61772153. This work was also supported by the Zhejiang Lab's International Talent Fund for Young Professionals.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
turian-etal-2010-word
https://aclanthology.org/P10-1040
Word Representations: A Simple and General Method for Semi-Supervised Learning
If we take an existing supervised NLP system, a simple and general way to improve accuracy is to use unsupervised word representations as extra word features. We evaluate Brown clusters, Collobert and Weston (2008) embeddings, and HLBL (Mnih & Hinton, 2009) embeddings of words on both NER and chunking. We use near stat...
false
[]
[]
null
null
null
Thank you to Magnus Sahlgren, Bob Carpenter, Percy Liang, Alexander Yates, and the anonymous reviewers for useful discussion. Thank you to Andriy Mnih for inducing his embeddings on RCV1 for us. Joseph Turian and Yoshua Bengio acknowledge the following agencies for research funding and computing support: NSERC, RQCHP, ...
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yaseen-etal-2006-building
http://www.lrec-conf.org/proceedings/lrec2006/pdf/131_pdf.pdf
Building Annotated Written and Spoken Arabic LRs in NEMLAR Project
The NEMLAR project: Network for Euro-Mediterranean LAnguage Resource and human language technology development and support; (www.nemlar.org) is a project supported by the EC with partners from Europe and the Middle East; whose objective is to build a network of specialized partners to promote and support the developmen...
false
[]
[]
null
null
null
The authors wish to thank the European Commission for the support granted through the INCO-MED programme. The INCO-MED programme has enhanced the development of the cultural dialogue and partnerships across the Mediterranean, as well as the advancement of science to the benefit of all involved parties. It was wise to s...
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chae-2004-analysis
https://aclanthology.org/Y04-1006
An Analysis of the Korean [manyak ... V-telato] Construction : An Indexed Phrase Structure Grammar Approach
Concord adverbial constructions in Korean show unbounded dependency relationships between two non-empty entities. There are two different types of unboundedness involved: one between a concord adverbial and a verbal ending and the other between the adverbial as a modifier and a predicate. In addition, these unboundedne...
false
[]
[]
null
null
null
An earlier version of this paper was presented at a monthly meeting of the Korean Society for Language and Information on April 24, 2004. I appreciate valuable comments and suggestions from Beom-mo Kang, Yong-Beom Kim, Seungho Nam, Jae-Hak Yoon and others.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
saggion-2007-shef
https://aclanthology.org/S07-1063
SHEF: Semantic Tagging and Summarization Techniques Applied to Cross-document Coreference
We describe experiments for the crossdocument coreference task in SemEval 2007. Our cross-document coreference system uses an in-house agglomerative clustering implementation to group documents referring to the same entity. Clustering uses vector representations created by summarization and semantic tagging analysis co...
false
[]
[]
null
null
null
This work was partially supported by the EU-funded MUSING project (IST-2004-027097) and the EUfunded LIRICS project (eContent project 22236).
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
guo-etal-2020-evidence
https://aclanthology.org/2020.acl-main.544
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder
Generating inferential texts about an event in different perspectives requires reasoning over different contexts that the event occurs. Existing works usually ignore the context that is not explicitly provided, resulting in a context-independent semantic representation that struggles to support the generation. To addre...
false
[]
[]
null
null
null
Daya Guo and Jian Yin are supported by the National Natural Science Foundation of China (U1711262, U1611264, U1711261, U1811261, U1811264, U1911203), National Key R&D Program of China (2018YFB1004404), Guangdong Basic and Applied Basic Research Foundation (2019B1515130001), Key R&D Program of Guangdong Province (2018B0...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dong-1990-transtar
https://aclanthology.org/C90-3066
Transtar - A Commercial English-Chinese MT System
null
false
[]
[]
null
null
null
null
1990
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
romero-etal-2021-task
https://aclanthology.org/2021.sigdial-1.46
A Task-Oriented Dialogue Architecture via Transformer Neural Language Models and Symbolic Injection
Recently, transformer language models have been applied to build both task-and non-taskoriented dialogue systems. Although transformers perform well on most of the NLP tasks, they perform poorly on context retrieval and symbolic reasoning. Our work aims to address this limitation by embedding the model in an operationa...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
baker-sato-2003-framenet
https://aclanthology.org/P03-2030
The FrameNet Data and Software
The FrameNet project has developed a lexical knowledge base providing a unique level of detail as to the the possible syntactic realizations of the specific semantic roles evoked by each predicator, for roughly 7,000 lexical units, on the basis of annotating more than 100,000 example sentences extracted from corpora. A...
false
[]
[]
null
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
saravanan-etal-2008-automatic
https://aclanthology.org/I08-1063
Automatic Identification of Rhetorical Roles using Conditional Random Fields for Legal Document Summarization
In this paper, we propose a machine learning approach to rhetorical role identification from legal documents. In our approach, we annotate roles in sample documents with the help of legal experts and take them as training data. Conditional random field model has been trained with the data to perform rhetorical role ide...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
prevot-etal-2013-quantitative-comparative
https://aclanthology.org/Y13-1007
A Quantitative Comparative Study of Prosodic and Discourse Units, the Case of French and Taiwan Mandarin
Studies of spontaneous conversational speech grounded on large and richly annotated corpora are still rare due to the scarcity of such resources. Comparative studies based on such resources are even more rarely found because of the extra-need of comparability in terms of content, genre and speaking style. The present p...
false
[]
[]
null
null
null
This work has been realized thanks to the support of the France-Taiwan ORCHID Program, under grant 100-2911-I-001-504 and the NSC project 100-2410-H-001-093 granted to the second author, as well as ANR OTIM BLAN08-2-349062 for initial work on the French data. We would like also to thank our colleagues for the help at v...
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
basu-roy-chowdhury-etal-2019-instance
https://aclanthology.org/D19-6120
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing
Supervised learning models are typically trained on a single dataset and the performance of these models rely heavily on the size of the dataset i.e., the amount of data available with ground truth. Learning algorithms try to generalize solely based on the data that it is presented with during the training. In this wor...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shaalan-etal-2009-syntactic
https://aclanthology.org/2009.mtsummit-caasl.9
Syntactic Generation of Arabic in Interlingua-based Machine Translation Framework
Arabic is a highly inflectional language, with a rich morphology, relatively free word order, and two types of sentences: nominal and verbal. Arabic natural language processing in general is still underdeveloped and Arabic natural language generation (NLG) is even less developed. In particular, Arabic natural language ...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
cruz-etal-2017-annotating
https://aclanthology.org/W17-1808
Annotating Negation in Spanish Clinical Texts
In this paper we present ongoing work on annotating negation in Spanish clinical documents. A corpus of anamnesis and radiology reports has been annotated by two domain expert annotators with negation markers and negated events. The Dice coefficient for inter-annotator agreement is higher than 0.94 for negation markers...
true
[]
[]
Good Health and Well-Being
null
null
This work has been partially funded by the Andalusian Regional Govenment (Bidamir Project TIC-07629) and the Spanish Government (IPHealth Project TIN2013-47153-C3-2-R). RM is supported by the Netherlands Organization for Scientific Research (NWO) via the Spinoza-prize awarded to Piek Vossen (SPI 30-673, 2014(SPI 30-673...
2017
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wu-etal-2021-counterfactual
https://aclanthology.org/2021.naacl-main.156
Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network
Providing a reliable explanation for clinical diagnosis based on the Electronic Medical Record (EMR) is fundamental to the application of Artificial Intelligence in the medical field. Current methods mostly treat the EMR as a text sequence and provide explanations based on a precise medical knowledge base, which is dis...
true
[]
[]
Good Health and Well-Being
null
null
This work is supported by the National Key Research and Development Program of China (No.2018YFB1005104) and the Key Research Program of the Chinese Academy of Sciences (ZDBS-SSW-JSC006).
2021
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
esteve-etal-2010-epac
http://www.lrec-conf.org/proceedings/lrec2010/pdf/650_Paper.pdf
The EPAC Corpus: Manual and Automatic Annotations of Conversational Speech in French Broadcast News
This paper presents the EPAC corpus which is composed by a set of 100 hours of conversational speech manually transcribed and by the outputs of automatic tools (automatic segmentation, transcription, POS tagging, etc.) applied on the entire French ESTER 1 audio corpus: this concerns about 1700 hours of audio recordings...
false
[]
[]
null
null
null
This research was supported by the ANR (Agence Nationale de la Recherche) under contract number ANR-06-MDCA-006.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sagot-martinez-alonso-2017-improving
https://aclanthology.org/W17-6304
Improving neural tagging with lexical information
Neural part-of-speech tagging has achieved competitive results with the incorporation of character-based and pre-trained word embeddings. In this paper, we show that a state-of-the-art bi-LSTM tagger can benefit from using information from morphosyntactic lexicons as additional input. The tagger, trained on several doz...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
de-vriend-etal-2002-using
http://www.lrec-conf.org/proceedings/lrec2002/pdf/264.pdf
Using Grammatical Description as a Metalanguage Resource
The present paper is concerned with the advantages of a digitised descriptive grammar over its traditional print version. First we discuss the process of up-conversion of the ANS material and the main advantages the E-ANS has for the editorial staff. Then from the perspective of language resources, we discuss different...
false
[]
[]
null
null
null
We would like to thank the members of the steering committee of this project for their comments and suggestions on the work presented in this paper: Gosse Bouma, Walter Daelemans, Carel Jansen, Gerard Kempen, Luuk Van Waes.
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tomeh-etal-2009-complexity
https://aclanthology.org/2009.mtsummit-papers.17
Complexity-Based Phrase-Table Filtering for Statistical Machine Translation
We describe an approach for filtering phrase tables in a Statistical Machine Translation system, which relies on a statistical independence measure called Noise, first introduced in (Moore, 2004). While previous work by (Johnson et al., 2007) also addressed the question of phrase table filtering, it relied on a simpler...
false
[]
[]
null
null
null
This work was supported by the European Commission under the IST Project SMART (FP6-033917). Thanks to Eric Gaussier for his support at the be-ginning of this project, and to Sara Stymne and the anonymous reviewers for detailed and insightful comments.
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kulkarni-boyer-2018-toward
https://aclanthology.org/W18-0532
Toward Data-Driven Tutorial Question Answering with Deep Learning Conversational Models
There has been an increase in popularity of data-driven question answering systems given their recent success. This paper explores the possibility of building a tutorial question answering system for Java programming from data sampled from a community-based question answering forum. This paper reports on the creation o...
true
[]
[]
Quality Education
null
null
null
2018
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
felt-etal-2015-making
https://aclanthology.org/K15-1020
Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA
Corpus labeling projects frequently use low-cost workers from microtask marketplaces; however, these workers are often inexperienced or have misaligned incentives. Crowdsourcing models must be robust to the resulting systematic and nonsystematic inaccuracies. We introduce a novel crowdsourcing model that adapts the dis...
false
[]
[]
null
null
null
Acknowledgments This work was supported by the collaborative NSF Grant IIS-1409739 (BYU) and IIS-1409287 (UMD). Boyd-Graber is also supported by NSF grants IIS-1320538 and NCSE-1422492. Any opinions, findings, conclusions, or recommendations expressed here are those of the authors and do not necessarily reflect the vie...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fernando-2013-segmenting
https://aclanthology.org/W13-3004
Segmenting Temporal Intervals for Tense and Aspect
Timelines interpreting interval temporal logic formulas are segmented into strings which serve as semantic representations for tense and aspect. The strings have bounded but refinable granularity, suitable for analyzing (im)perfectivity, durativity, telicity, and various relations including branching.
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bernth-1997-easyenglish
https://aclanthology.org/A97-1024
EasyEnglish: A Tool for Improving Document Quality
We describe the authoring tool, EasyEnglish, which is part of IBM's internal SGML editing environment, Information Development Workbench. EasyEnglish helps writers produce clearer and simpler English by pointing out ambiguity and complexity as well as performing some standard grammar checking. Where appropriate, EasyEn...
false
[]
[]
null
null
null
I would like to thank the following persons for contributions to EasyEnglish and to this paper: Michael McCord of IBM Research for use of his ESG grammar and parser, for contributing ideas to the design and implementation, for extensive work on the lexicons and lexical utilities, and for commenting on this paper; Andre...
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
galvez-etal-2020-unifying
https://aclanthology.org/2020.sigdial-1.27
A unifying framework for modeling acoustic/prosodic entrainment: definition and evaluation on two large corpora
Acoustic/prosodic (a/p) entrainment has been associated with multiple positive social aspects of human-human conversations. However, research on its effects is still preliminary, first because how to model it is far from standardized, and second because most of the reported findings rely on small corpora or on corpora ...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ustalov-etal-2018-unsupervised
https://aclanthology.org/L18-1164
An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages
In this paper, we present Watasense, an unsupervised system for word sense disambiguation. Given a sentence, the system chooses the most relevant sense of each input word with respect to the semantic similarity between the given sentence and the synset constituting the sense of the target word. Watasense has two modes ...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zelenko-etal-2004-coreference
https://aclanthology.org/W04-0704
Coreference Resolution for Information Extraction
null
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wu-weld-2010-open
https://aclanthology.org/P10-1013
Open Information Extraction Using Wikipedia
Information-extraction (IE) systems seek to distill semantic relations from naturallanguage text, but most systems use supervised learning of relation-specific examples and are thus limited by the availability of training data. Open IE systems such as TextRunner, on the other hand, aim to handle the unbounded number of...
false
[]
[]
null
null
null
We thank Oren Etzioni and Michele Banko from Turing Center at the University of Washington for providing the code of their software and useful discussions. We also thank Alan Ritter, Mausam, Peng Dai, Raphael Hoffmann, Xiao Ling, Stefan Schoenmackers, Andrey Kolobov and Daniel Suskin for valuable comments. This materia...
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bangalore-etal-2001-impact
https://aclanthology.org/W01-0520
Impact of Quality and Quantity of Corpora on Stochastic Generation
EQUATION EQUATION
false
[]
[]
null
null
null
null
2001
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gurcke-etal-2021-assessing
https://aclanthology.org/2021.argmining-1.7
Assessing the Sufficiency of Arguments through Conclusion Generation
The premises of an argument give evidence or other reasons to support a conclusion. However, the amount of support required depends on the generality of a conclusion, the nature of the individual premises, and similar. An argument whose premises make its conclusion rationally worthy to be drawn is called sufficient in ...
false
[]
[]
null
null
null
We thank Katharina Brennig, Simon Seidl, Abdullah Burak, Frederike Gurcke and Dr. Maurice Gurcke for their feedback. We gratefully acknowledge the computing time provided the described experiments by the Paderborn Center for Parallel Computing (PC 2 ). This project has been partially funded by the German Research Found...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wedlake-1992-introduction
https://aclanthology.org/1992.tc-1.1
An Introduction to quality assurance and a guide to the implementation of BS5750
This paper introduces the philosophy of Quality Assurance and traces the development of the British Standard for Quality Systems-BS 5750. The key components of the Quality System are covered and there is a discussion on how to choose a Quality System which is most appropriate to the needs of the particular organisation...
false
[]
[]
null
null
null
null
1992
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
marivate-etal-2020-investigating
https://aclanthology.org/2020.rail-1.3
Investigating an Approach for Low Resource Language Dataset Creation, Curation and Classification: Setswana and Sepedi
The recent advances in Natural Language Processing have only been a boon for well represented languages, negating research in lesser known global languages. This is in part due to the availability of curated data and research resources. One of the current challenges concerning low-resourced languages are clear guidelin...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
heck-etal-2015-naist
https://aclanthology.org/2015.iwslt-evaluation.17
The NAIST English speech recognition system for IWSLT 2015
null
false
[]
[]
null
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
grishina-2017-combining
https://aclanthology.org/W17-4809
Combining the output of two coreference resolution systems for two source languages to improve annotation projection
Although parallel coreference corpora can to a high degree support the development of SMT systems, there are no large-scale parallel datasets available due to the complexity of the annotation task and the variability in annotation schemes. In this study, we exploit an annotation projection method to combine the output ...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
duppada-etal-2018-seernet
https://aclanthology.org/S18-1002
SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets
The paper describes the best performing system for the SemEval-2018 Affect in Tweets (English) sub-tasks. The system focuses on the ordinal classification and regression sub-tasks for valence and emotion. For ordinal classification valence is classified into 7 different classes ranging from-3 to 3 whereas emotion is cl...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mitchell-lapata-2008-vector
https://aclanthology.org/P08-1028
Vector-based Models of Semantic Composition
This paper proposes a framework for representing the meaning of phrases and sentences in vector space. Central to our approach is vector composition which we operationalize in terms of additive and multiplicative functions. Under this framework, we introduce a wide range of composition models which we evaluate empirica...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fujii-etal-2012-effects
http://www.lrec-conf.org/proceedings/lrec2012/pdf/714_Paper.pdf
Effects of Document Clustering in Modeling Wikipedia-style Term Descriptions
Reflecting the rapid growth of science, technology, and culture, it has become common practice to consult tools on the World Wide Web for various terms. Existing search engines provide an enormous volume of information, but retrieved information is not organized. Hand-compiled encyclopedias provide organized informatio...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kim-1996-internally
https://aclanthology.org/Y96-1042
Internally Headed Relative Clause Constructions in Korean
This paper attempts to analyze some grammatical aspects of the so called internally-headed relative clause construction in Korean. This paper proposes that the meaning of the external head kes is underspecified in the sense that its semantic content is filled in by co-indexing it to the internal head under appropriate ...
false
[]
[]
null
null
null
null
1996
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
heinroth-etal-2012-adaptive
http://www.lrec-conf.org/proceedings/lrec2012/pdf/169_Paper.pdf
Adaptive Speech Understanding for Intuitive Model-based Spoken Dialogues
In this paper we present three approaches towards adaptive speech understanding. The target system is a model-based Adaptive Spoken Dialogue Manager, the OwlSpeak ASDM. We enhanced this system in order to properly react on non-understandings in real-life situations where intuitive communication is required. OwlSpeak pr...
false
[]
[]
null
null
null
The research leading to these results has received funding from the Transregional Collaborative Research Centre SF-B/TRR 62 "Companion-Technology for Cognitive Technical Systems" funded by the German Research Foundation (DFG).
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mireshghallah-etal-2022-mix
https://aclanthology.org/2022.acl-long.31
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models
Recent work on controlled text generation has either required attribute-based fine-tuning of the base language model (LM), or has restricted the parameterization of the attribute discriminator to be compatible with the base autoregressive LM. In this work, we propose Mix and Match LM, a global score-based alternative f...
false
[]
[]
null
null
null
The authors would like to thank the anonymous reviewers and meta-reviewers for their helpful feedback. We also thank our colleagues at the UCSD/CMU Berg Lab for their helpful comments and feedback.
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
uslu-etal-2017-textimager
https://aclanthology.org/E17-3005
TextImager as a Generic Interface to R
R is a very powerful framework for statistical modeling. Thus, it is of high importance to integrate R with state-of-theart tools in NLP. In this paper, we present the functionality and architecture of such an integration by means of TextImager. We use the OpenCPU API to integrate R based on our own R-Server. This allo...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kraus-etal-2020-comparison
https://aclanthology.org/2020.lrec-1.54
A Comparison of Explicit and Implicit Proactive Dialogue Strategies for Conversational Recommendation
Recommendation systems aim at facilitating information retrieval for users by taking into account their preferences. Based on previous user behaviour, such a system suggests items or provides information that a user might like or find useful. Nonetheless, how to provide suggestions is still an open question. Depending ...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aji-etal-2021-paracotta
https://aclanthology.org/2021.paclic-1.56
ParaCotta: Synthetic Multilingual Paraphrase Corpora from the Most Diverse Translation Sample Pair
We release our synthetic parallel paraphrase corpus across 17 languages: Arabic, Catalan,
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yao-van-durme-2014-information
https://aclanthology.org/P14-1090
Information Extraction over Structured Data: Question Answering with Freebase
Answering natural language questions using the Freebase knowledge base has recently been explored as a platform for advancing the state of the art in open domain semantic parsing. Those efforts map questions to sophisticated meaning representations that are then attempted to be matched against viable answer candidates ...
false
[]
[]
null
null
null
Acknowledgments We thank the Allen Institute for Artificial Intelligence for funding this work. We are also grateful to Jonathan Berant, Tom Kwiatkowski, Qingqing Cai, Adam Lopez, Chris Callison-Burch and Peter Clark for helpful discussion and to the reviewers for insightful comments.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bannard-2007-measure
https://aclanthology.org/W07-1101
A Measure of Syntactic Flexibility for Automatically Identifying Multiword Expressions in Corpora
Natural languages contain many multi-word sequences that do not display the variety of syntactic processes we would expect given their phrase type, and consequently must be included in the lexicon as multiword units. This paper describes a method for identifying such items in corpora, focussing on English verb-noun com...
false
[]
[]
null
null
null
Thanks to Tim Baldwin, Francis Bond, Ted Briscoe, Chris Callison-Burch, Mirella Lapata, Alex Las-carides, Andrew Smith, Takaaki Tanaka and two anonymous reviewers for helpful ideas and comments.
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ma-etal-2002-models
http://www.lrec-conf.org/proceedings/lrec2002/pdf/141.pdf
Models and Tools for Collaborative Annotation
The Annotation Graph Toolkit (AGTK) is a collection of software which facilitates development of linguistic annotation tools. AGTK provides a database interface which allows applications to use a database server for persistent storage. This paper discusses various modes of collaborative annotation and how they can be s...
false
[]
[]
null
null
null
This material is based upon work supported by the National Science Foundation under Grant Nos. 9978056 and 9980009 (Talkbank).
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dugan-etal-2022-feasibility
https://aclanthology.org/2022.findings-acl.151
A Feasibility Study of Answer-Unaware Question Generation for Education
We conduct a feasibility study into the applicability of answer-agnostic question generation models to textbook passages. We show that a significant portion of errors in such systems arise from asking irrelevant or uninterpretable questions and that such errors can be ameliorated by providing summarized input. We find ...
true
[]
[]
Quality Education
null
null
null
2022
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
rangarajan-sridhar-etal-2014-framework
https://aclanthology.org/C14-1092
A Framework for Translating SMS Messages
Short Messaging Service (SMS) has become a popular form of communication. While it is predominantly used for monolingual communication, it can be extremely useful for facilitating cross-lingual communication through statistical machine translation. In this work we present an application of statistical machine translati...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
null
2014
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
petukhova-bunt-2010-towards
http://www.lrec-conf.org/proceedings/lrec2010/pdf/195_Paper.pdf
Towards an Integrated Scheme for Semantic Annotation of Multimodal Dialogue Data
This paper investigates the applicability of existing dialogue act annotation schemes, designed for the analysis of spoken dialogue, to the semantic annotation of multimodal data, and the way a dialogue act annotation scheme can be extended to cover dialogue phenomena from multiple modalities.
false
[]
[]
null
null
null
This research was conducted within the project Multidimensional Dialogue Modelling, sponsored by the Netherlands Organisation for Scientific Research (NWO), under grant reference 017.003.090. We also very thankful to anonumous reviewers for their valuable comments.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mccoy-1984-correcting
https://aclanthology.org/P84-1090
Correcting Object-Related Misconceptions: How Should The System Respond?
Tills paper describes a computational method for correcting users' miseonceptioas concerning the objects modelled by a compute," s.ystem. The method involves classifying object-related misc,mce|,tions according to the knowledge-base feature involved in the incorrect information. For each resulting class sub-types are i...
false
[]
[]
null
null
null
I would like to thank Julia tlirschberg, Aravind Joshi, Martha Poll.~ck, and Bonnie Webber for their many helpful comments concerning this work.
1984
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
carter-1994-improving
https://aclanthology.org/A94-1010
Improving Language Models by Clustering Training Sentences
Many of the kinds of language model used in speech understanding suffer from imperfect modeling of intra-sentential contextual influences. I argue that this problem can be addressed by clustering the sentences in a training corpus automatically into subcorpora on the criterion of entropy reduction, and calculating sepa...
false
[]
[]
null
null
null
This research was partly funded by the Defence Research Agency, Malvern, UK, under assignment M85T51XX.I am grateful to Manny Rayner and Ian Lewin for useful comments on earlier versions of this paper. Responsibility for any remaining errors or unclarities rests in the customary place.
1994
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2016-litway
https://aclanthology.org/W16-3004
LitWay, Discriminative Extraction for Different Bio-Events
Even a simple biological phenomenon may introduce a complex network of molecular interactions. Scientific literature is one of the trustful resources delivering knowledge of these networks. We propose LitWay, a system for extracting semantic relations from texts. Lit-Way utilizes a hybrid method that combines both a ru...
true
[]
[]
Good Health and Well-Being
null
null
null
2016
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pianta-etal-2008-textpro
http://www.lrec-conf.org/proceedings/lrec2008/pdf/645_paper.pdf
The TextPro Tool Suite
We present TextPro, a suite of modular Natural Language Processing (NLP) tools for analysis of Italian and English texts. The suite has been designed so as to integrate and reuse state of the art NLP components developed by researchers at FBK. The current version of the tool suite provides functions ranging from tokeni...
false
[]
[]
null
null
null
This work has been funded partly by the following projects: the ONTOTEXT sponsored by the Autonomous Province of Trento under the FUP-2004 research program, and partly by the Meaning and PATExpert (http://www.patexpert.org) projects sponsored by the European Commission. We wish to thanks Taku Kudo and Yuji Matsumoto fo...
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lin-mitamura-2004-keyword
https://link.springer.com/chapter/10.1007/978-3-540-30194-3_19
Keyword translation from English to Chinese for multilingual QA
null
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
collier-etal-1999-genia
https://aclanthology.org/E99-1043
The GENIA project: corpus-based knowledge acquisition and information extraction from genome research papers
We present an outline of the genome information acquisition (GENIA) project for automatically extracting biochemical information from journal papers and abstracts. GENIA will be available over the Internet and is designed to aid in information extraction, retrieval and visualisation and to help reduce information overl...
true
[]
[]
Good Health and Well-Being
Industry, Innovation and Infrastructure
null
null
1999
false
false
true
false
false
false
false
false
true
false
false
false
false
false
false
false
false