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li-etal-2020-shallow
https://aclanthology.org/2020.emnlp-main.72
Shallow-to-Deep Training for Neural Machine Translation
Deep encoders have been proven to be effective in improving neural machine translation (NMT) systems, but training an extremely deep encoder is time consuming. Moreover, why deep models help NMT is an open question. In this paper, we investigate the behavior of a well-tuned deep Transformer system. We find that stackin...
false
[]
[]
null
null
null
This work was supported in part by the National Science Foundation of China (Nos. 61876035 and 61732005), the National Key R&D Program of China (No. 2019QY1801). The authors would like to thank anonymous reviewers for their valuable comments. And thank Qiang Wang for the helpful advice to improve the paper.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
arthur-etal-2021-multilingual
https://aclanthology.org/2021.findings-acl.420
Multilingual Simultaneous Neural Machine Translation
Simultaneous machine translation (SIMT) involves translating source utterances to the target language in real-time before the speaker utterance completes. This paper proposes the multilingual approach to SIMT, where a single model simultaneously translates between multiple language-pairs. This not only results in more ...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gundapu-mamidi-2020-gundapusunil-semeval
https://aclanthology.org/2020.semeval-1.166
Gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data
The phenomenon of mixing the vocabulary and syntax of multiple languages within the same utterance is called Code-Mixing. This is more evident in multilingual societies. In this paper, we have developed a system for SemEval 2020: Task 9 on Sentiment Analysis for Code-Mixed Social Media Text. Our system first generates ...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
polak-polakova-1982-operation
https://aclanthology.org/C82-2058
Operation Logic - A Database Management Operation System of Human-Like Information Processing
The paper contains the description of a database management computer operation system called operation logic. This system is a formal logic with well-deflned formulas as semantic language clauses and with reasoning by means of modus ponens rules. There are four frames-CLAUSE, QUESTION,
false
[]
[]
null
null
null
null
1982
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jin-etal-2021-neural
https://aclanthology.org/2021.emnlp-main.80
Neural Attention-Aware Hierarchical Topic Model
Neural topic models (NTMs) apply deep neural networks to topic modelling. Despite their success, NTMs generally ignore two important aspects: (1) only document-level word count information is utilized for the training, while more fine-grained sentence-level information is ignored, and (2) external semantic knowledge re...
false
[]
[]
null
null
null
Yuan Jin and Wray Buntine were supported by the Australian Research Council under awards DE170100037. Wray Buntine was also sponsored by DARPA under agreement number FA8750-19-2-0501.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gupta-etal-2021-sumpubmed
https://aclanthology.org/2021.acl-srw.30
SumPubMed: Summarization Dataset of PubMed Scientific Articles
Most earlier work on text summarization is carried out on news article datasets. The summary in these datasets is naturally located at the beginning of the text. Hence, a model can spuriously utilize this correlation for summary generation instead of truly learning to summarize. To address this issue, we constructed a ...
true
[]
[]
Good Health and Well-Being
Industry, Innovation and Infrastructure
null
We would like to thank the ACL SRW anonymous reviewers for their useful feedback, comments, and suggestions.
2021
false
false
true
false
false
false
false
false
true
false
false
false
false
false
false
false
false
schiffman-mckeown-2005-context
https://aclanthology.org/H05-1090
Context and Learning in Novelty Detection
We demonstrate the value of using context in a new-information detection system that achieved the highest precision scores at the Text Retrieval Conference's Novelty Track in 2004. In order to determine whether information within a sentence has been seen in material read previously, our system integrates information ab...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
null
2005
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
pinnis-etal-2014-real
https://aclanthology.org/2014.amta-users.7
Real-world challenges in application of MT for localization: the Baltic case
null
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chung-etal-2021-splat
https://aclanthology.org/2021.naacl-main.152
SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding
Spoken language understanding (SLU) requires a model to analyze input acoustic signal to understand its linguistic content and make predictions. To boost the models' performance, various pre-training methods have been proposed to learn rich representations from large-scale unannotated speech and text. However, the inhe...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ruseti-etal-2016-using
https://aclanthology.org/W16-1623
Using Embedding Masks for Word Categorization
Word embeddings are widely used nowadays for many NLP tasks. They reduce the dimensionality of the vocabulary space, but most importantly they should capture (part of) the meaning of words. The new vector space used by the embeddings allows computation of semantic distances between words, while some word embeddings als...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ma-etal-2010-multimodal
https://aclanthology.org/W10-1308
A Multimodal Vocabulary for Augmentative and Alternative Communication from Sound/Image Label Datasets
Existing Augmentative and Alternative Communication vocabularies assign multimodal stimuli to words with multiple meanings. The ambiguity hampers the vocabulary effectiveness when used by people with language disabilities. For example, the noun "a missing letter" may refer to a character or a written message, and each ...
false
[]
[]
null
null
null
Figure 6 . Percentage of WSD results overlap between evocation and various relatedness measures.We thank the Kimberley and Frank H. Moss '71 Princeton SEAS Research Fund for supporting our project.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
selfridge-etal-2012-integrating
https://aclanthology.org/W12-1638
Integrating Incremental Speech Recognition and POMDP-Based Dialogue Systems
The goal of this paper is to present a first step toward integrating Incremental Speech Recognition (ISR) and Partially-Observable Markov Decision Process (POMDP) based dialogue systems. The former provides support for advanced turn-taking behavior while the other increases the semantic accuracy of speech recognition r...
false
[]
[]
null
null
null
Thanks to Vincent Goffin for help with this work, and to the anonymous reviewers for their comments and critique. We acknowledge funding from the NSF under grant IIS-0713698.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ravenscroft-etal-2018-harrigt
https://aclanthology.org/P18-4004
HarriGT: A Tool for Linking News to Science
Being able to reliably link scientific works to the newspaper articles that discuss them could provide a breakthrough in the way we rationalise and measure the impact of science on our society. Linking these articles is challenging because the language used in the two domains is very different, and the gathering of onl...
true
[]
[]
Industry, Innovation and Infrastructure
Peace, Justice and Strong Institutions
null
We thank the EPSRC (grant EP/L016400/1) for funding us through the University of Warwick's CDT in Urban Science, the Alan Turing Institute and British Library for providing resources.
2018
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
true
false
nayek-etal-2015-catalog
https://aclanthology.org/W15-5206
CATaLog: New Approaches to TM and Post Editing Interfaces
This paper explores a new TM-based CAT tool entitled CATaLog. New features have been integrated into the tool which aim to improve post-editing both in terms of performance and productivity. One of the new features of CATaLog is a color coding scheme that is based on the similarity between a particular input sentence a...
false
[]
[]
null
null
null
We would like to thank the anonymous NLP4TM reviewers who provided us valuable feedback to improve this paper as well as new ideas for future work.English to Indian language Machine Translation (EILMT) is a project funded by the Department of Information and Technology (DIT), Government of India.Santanu Pal is supporte...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
arnold-etal-2016-tasty
https://aclanthology.org/C16-2024
TASTY: Interactive Entity Linking As-You-Type
We introduce TASTY (Tag-as-you-type), a novel text editor for interactive entity linking as part of the writing process. Tasty supports the author of a text with complementary information about the mentioned entities shown in a 'live' exploration view. The system is automatically triggered by keystrokes, recognizes men...
false
[]
[]
null
null
null
Acknowledgements Our work is funded by the Federal Ministry of Economic Affairs and Energy (BMWi) under grant agreement 01MD15010B (Project: Smart Data Web).
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kim-sohn-2020-positive
https://aclanthology.org/2020.coling-main.191
How Positive Are You: Text Style Transfer using Adaptive Style Embedding
The prevalent approach for unsupervised text style transfer is disentanglement between content and style. However, it is difficult to completely separate style information from the content. Other approaches allow the latent text representation to contain style and the target style to affect the generated output more th...
false
[]
[]
null
null
null
This research was supported by the National Research Foundation of Korea grant funded by the Korea government (MSIT) (No. NRF-2019R1A2C1006608).
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dagan-etal-2021-co
https://aclanthology.org/2021.eacl-main.260
Co-evolution of language and agents in referential games
Referential games offer a grounded learning environment for neural agents which accounts for the fact that language is functionally used to communicate. However, they do not take into account a second constraint considered to be fundamental for the shape of human language: that it must be learnable by new language lear...
false
[]
[]
null
null
null
We would like to thank Angeliki Lazaridou for her helpful discussions and feedback on previous iterations of this work.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schneider-1987-metal
https://aclanthology.org/1987.mtsummit-1.7
The METAL System. Status 1987
1. History 2. Hardware 3. Grammar 4. Lexicon 5. Development Tools 6. Current Applications and Quality 7. Research, Future Applications In the late seventies, when there was a noticeable shortage of qualified technical translators versus the volume of required in-house translations, Siemens began to look for an operativ...
false
[]
[]
null
null
null
null
1987
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kuzman-etal-2019-neural
https://aclanthology.org/W19-7301
Neural Machine Translation of Literary Texts from English to Slovene
Neural Machine Translation has shown promising performance in literary texts. Since literary machine translation has not yet been researched for the English-to-Slovene translation direction, this paper aims to fulfill this gap by presenting a comparison among bespoke NMT models, tailored to novels, and Google Neural Ma...
false
[]
[]
null
null
null
This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 (Insight), co-funded by the European Regional Development Fund.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vasconcellos-1989-place
https://aclanthology.org/1989.mtsummit-1.9
The place of MT in an in-house translation service
At the Pan American Health Organization (PAHO), MT service is approaching its tenth anniversary. A special combination of characteristics have placed this operation in a class by itself. One of these characteristics is that the MT software (SPANAM and ENGSPAN and supporting programs) has been developed in-house by an i...
false
[]
[]
null
null
null
null
1989
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vanzo-etal-2014-context
https://aclanthology.org/C14-1221
A context-based model for Sentiment Analysis in Twitter
Most of the recent literature on Sentiment Analysis over Twitter is tied to the idea that the sentiment is a function of an incoming tweet. However, tweets are filtered through streams of posts, so that a wider context, e.g. a topic, is always available. In this work, the contribution of this contextual information is ...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gupta-lehal-2011-punjabi
https://aclanthology.org/W11-3006
Punjabi Language Stemmer for nouns and proper names
This paper concentrates on Punjabi language noun and proper name stemming. The purpose of stemming is to obtain the stem or radix of those words which are not found in dictionary. If stemmed word is present in dictionary, then that is a genuine word, otherwise it may be proper name or some invalid word. In Punjabi lang...
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhao-kawahara-2018-unified
https://aclanthology.org/W18-5021
A Unified Neural Architecture for Joint Dialog Act Segmentation and Recognition in Spoken Dialog System
In spoken dialog systems (SDSs), dialog act (DA) segmentation and recognition provide essential information for response generation. A majority of previous works assumed ground-truth segmentation of DA units, which is not available from automatic speech recognition (ASR) in SDS. We propose a unified architecture based ...
false
[]
[]
null
null
null
This work was supported by JST ERATO Ishiguro Symbiotic Human-Robot Interaction program (Grant Number JPMJER1401), Japan.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
crego-etal-2005-ngram
https://aclanthology.org/2005.iwslt-1.23
Ngram-based versus Phrase-based Statistical Machine Translation
This work summarizes a comparison between two approaches to Statistical Machine Translation (SMT), namely Ngram-based and Phrase-based SMT. In both approaches, the translation process is based on bilingual units related by word-to-word alignments (pairs of source and target words), while the main differences are based ...
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
luo-etal-2018-auto
https://aclanthology.org/D18-1075
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation
Generating semantically coherent responses is still a major challenge in dialogue generation. Different from conventional text generation tasks, the mapping between inputs and responses in conversations is more complicated, which highly demands the understanding of utterance-level semantic dependency, a relation betwee...
false
[]
[]
null
null
null
This work was supported in part by National Natural Science Foundation of China (No. 61673028). We thank all reviewers for providing the construc-tive suggestions. Xu Sun is the corresponding author of this paper.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
okumura-etal-2003-text
https://aclanthology.org/W03-0507
Text Summarization Challenge 2 - Text summarization evaluation at NTCIR Workshop 3
We describe the outline of Text Summarization Challenge 2 (TSC2 hereafter), a sequel text summarization evaluation conducted as one of the tasks at the NTCIR Workshop 3. First, we describe briefly the previous evaluation, Text Summarization Challenge (TSC1) as introduction to TSC2. Then we explain TSC2 including the pa...
false
[]
[]
null
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
soboroff-harman-2005-novelty
https://aclanthology.org/H05-1014
Novelty Detection: The TREC Experience
A challenge for search systems is to detect not only when an item is relevant to the user's information need, but also when it contains something new which the user has not seen before. In the TREC novelty track, the task was to highlight sentences containing relevant and new information in a short, topical document st...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
null
2005
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
eshghi-etal-2013-probabilistic
https://aclanthology.org/W13-0110
Probabilistic induction for an incremental semantic grammar
We describe a method for learning an incremental semantic grammar from a corpus in which sentences are paired with logical forms as predicate-argument structure trees. Working in the framework of Dynamic Syntax, and assuming a set of generally available compositional mechanisms, we show how lexical entries can be learn...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2021-universal
https://aclanthology.org/2021.cl-2.15
Universal Discourse Representation Structure Parsing
We consider the task of crosslingual semantic parsing in the style of Discourse Representation Theory (DRT) where knowledge from annotated corpora in a resource-rich language is transferred via bitext to guide learning in other languages. We introduce Universal Discourse Representation Theory (UDRT), a variant of DRT t...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their feedback. We thank Alex Lascarides for her comments. We gratefully acknowledge the support of the European Research Council (Lapata, Liu; award number 681760), the EU H2020 project SUMMA (Cohen, Liu; grant agreement 688139) and Bloomberg (Cohen, Liu). This work was partly fund...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ahlberg-etal-2015-paradigm
https://aclanthology.org/N15-1107
Paradigm classification in supervised learning of morphology
Supervised morphological paradigm learning by identifying and aligning the longest common subsequence found in inflection tables has recently been proposed as a simple yet competitive way to induce morphological patterns. We combine this non-probabilistic strategy of inflection table generalization with a discriminativ...
false
[]
[]
null
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wu-etal-2020-improving-knowledge
https://aclanthology.org/2020.findings-emnlp.126
Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues
Incorporating commonsense knowledge can alleviate the issue of generating generic responses in open-domain generative dialogue systems. However, selecting knowledge facts for the dialogue context is still a challenge. The widely used approach Entity Name Matching always retrieves irrelevant facts from the view of local...
false
[]
[]
null
null
null
This work is supported by the National Key R&D Program of China (Grant No. 2017YFB1002000).
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
feng-etal-2013-connotation
https://aclanthology.org/P13-1174
Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning
Understanding the connotation of words plays an important role in interpreting subtle shades of sentiment beyond denotative or surface meaning of text, as seemingly objective statements often allude nuanced sentiment of the writer, and even purposefully conjure emotion from the readers' minds. The focus of this paper i...
false
[]
[]
null
null
null
This research was supported in part by the Stony Brook University Office of the Vice President for Research. We thank reviewers for many insightful comments and suggestions, and for providing us with several very inspiring examples to work with.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
cooper-stickland-etal-2021-recipes
https://aclanthology.org/2021.eacl-main.301
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation
There has been recent success in pre-training on monolingual data and fine-tuning on Machine Translation (MT), but it remains unclear how to best leverage a pre-trained model for a given MT task. This paper investigates the benefits and drawbacks of freezing parameters, and adding new ones, when fine-tuning a pre-train...
false
[]
[]
null
null
null
We'd like to thank James Cross, Mike Lewis, Naman Goyal, Jiatao Gu, Iain Murray, Yuqing Tang and Luke Zettlemoyer for useful discussion. We also thank our colleagues at FAIR and FAIAR for valuable feedback.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hasler-2004-ignore
http://www.lrec-conf.org/proceedings/lrec2004/pdf/338.pdf
``Why do you Ignore me?'' - Proof that not all Direct Speech is Bad
In the automatic summarisation of written texts, direct speech is usually deemed unsuitable for inclusion in important sentences. This is due to the fact that humans do not usually include such quotations when they create summaries. In this paper, we argue that despite generally negative attitudes, direct speech can be...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
patwardhan-riloff-2009-unified
https://aclanthology.org/D09-1016
A Unified Model of Phrasal and Sentential Evidence for Information Extraction
Information Extraction (IE) systems that extract role fillers for events typically look at the local context surrounding a phrase when deciding whether to extract it. Often, however, role fillers occur in clauses that are not directly linked to an event word. We present a new model for event extraction that jointly con...
false
[]
[]
null
null
null
This work has been supported in part by the Department of Homeland Security Grant N0014-07-1-0152. We are grateful to Nathan Gilbert and Adam Teichert for their help with the annotation of event sentences.
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mcconachy-etal-1998-bayesian
https://aclanthology.org/W98-1212
A Bayesian Approach to Automating Argumentation
Our argumentation system NAG uses Bayesian networks in a user model and in a normative model to assemble and assess nice arguments, that is arguments which balance persuasiveness with normative correctness. Attentional focus is simulated in both models to select relevant subnetworks for Bayesian propagation. Bayesian p...
false
[]
[]
null
null
null
This work was supported in part by Australian Research Council grant A49531227.
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rommel-1984-language
https://aclanthology.org/1984.bcs-1.36
Language or information: a new role for the translator
After three days of hearing about machine translation, machine-aided translation, terminology, lexicography, in fact about the methodology and techniques that are making it possible to escalate the information flow to unprecedented proportions, I am astounded at my temerity in agreeing to speak about so pedestrian a su...
false
[]
[]
null
null
null
null
1984
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
min-etal-2000-typographical
http://www.lrec-conf.org/proceedings/lrec2000/pdf/221.pdf
Typographical and Orthographical Spelling Error Correction
This paper focuses on selection techniques for best correction of misspelt words at the lexical level. Spelling errors are introduced by either cognitive or typographical mistakes. A robust spelling correction algorithm is needed to cover both cognitive and typographical errors. For the most effective spelling correcti...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schluter-2018-word
https://aclanthology.org/N18-2039
The Word Analogy Testing Caveat
There are some important problems in the evaluation of word embeddings using standard word analogy tests. In particular, in virtue of the assumptions made by systems generating the embeddings, these remain tests over randomness. We show that even supposing there were such word analogy regularities that should be detect...
false
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null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
keller-1995-towards
https://aclanthology.org/E95-1045
Towards an Account of Extraposition in HPSG
This paper investigates the syntax of extraposition in the HPSG framework. We present English and German data (partly taken from corpora), and provide an analysis using a nonlocal dependency and lexical rules. The condition for binding the dependency is formulated relative to the antecedent of the extraposed phrase, wh...
false
[]
[]
null
null
null
null
1995
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kiefer-etal-2002-novel
https://aclanthology.org/C02-1075
A Novel Disambiguation Method for Unification-Based Grammars Using Probabilistic Context-Free Approximations
We present a novel disambiguation method for unification-based grammars (UBGs). In contrast to other methods, our approach obviates the need for probability models on the UBG side in that it shifts the responsibility to simpler context-free models, indirectly obtained from the UBG. Our approach has three advantages: (i...
false
[]
[]
null
null
null
This research was supported by the German Federal Ministry for Education, Science, Research, and Technology under grant no. 01 IW 002 and EU grant no. IST-1999-11438.
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
porzel-baudis-2004-tao
https://aclanthology.org/N04-1027
The Tao of CHI: Towards Effective Human-Computer Interaction
End-to-end evaluations of conversational dialogue systems with naive users are currently uncovering severe usability problems that result in low task completion rates. Preliminary analyses suggest that these problems are related to the system's dialogue management and turntaking behavior. We present the results of expe...
false
[]
[]
null
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null
This work has been partially funded by the German Federal Ministry of Research and Technology (BMBF) and by the Klaus Tschira Foundation as part of the SMARTKOM, SMARTWEB, and EDU projects. We would like to thank the International Computer Science Institute in Berkeley for their help in collecting the data especially, ...
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ashok-etal-2014-dialogue
https://aclanthology.org/W14-4317
Dialogue Act Modeling for Non-Visual Web Access
Speech-enabled dialogue systems have the potential to enhance the ease with which blind individuals can interact with the Web beyond what is possible with screen readers-the currently available assistive technology which narrates the textual content on the screen and provides shortcuts to navigate the content. In this ...
false
[]
[]
null
null
null
Research reported in this publication was supported by the National Eye Institute of the National Institutes of Health under award number 1R43EY21962-1A1. We would like to thank Lighthouse Guild International and Dr. William Seiple in particular for helping conduct user studies.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kuroda-2010-arguments
https://aclanthology.org/Y10-1052
Arguments for Parallel Distributed Parsing: Toward the Integration of Lexical and Sublexical (Semantic) Parsings
This paper illustrates the idea of parallel distributed parsing (PDP), which allows us to integrate lexical and sublexical analyses. PDP is proposed for providing a new model of efficient, information-rich parses that can remedy the data sparseness problem. 1) The example and explanation were taken from http://nlp.stan...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2021-morphological
https://aclanthology.org/2021.americasnlp-1.10
Morphological Segmentation for Seneca
This study takes up the task of low-resource morphological segmentation for Seneca, a critically endangered and morphologically complex Native American language primarily spoken in what is now New York State and Ontario. The labeled data in our experiments comes from two sources: one digitized from a publicly available...
false
[]
[]
null
null
null
We are grateful for the cooperation and support of the Seneca Nation of Indians. This material is based upon work supported by the National Science Foundation under Grant No. 1761562. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily ...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rei-etal-2021-mt
https://aclanthology.org/2021.acl-demo.9
MT-Telescope: An interactive platform for contrastive evaluation of MT systems
We present MT-TELESCOPE, a visualization platform designed to facilitate comparative analysis of the output quality of two Machine Translation (MT) systems. While automated MT evaluation metrics are commonly used to evaluate MT systems at a corpus-level, our platform supports fine-grained segment-level analysis and int...
false
[]
[]
null
null
null
We are grateful to the Unbabel MT team, specially Austin Matthews and João Alves, for their valuable feedback. This work was supported in part by the P2020 Program through projects MAIA and Unbabel4EU, supervised by ANI under contract numbers 045909 and 042671, respectively.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bartsch-2004-annotating
http://www.lrec-conf.org/proceedings/lrec2004/pdf/361.pdf
Annotating a Corpus for Building a Domain-specific Knowledge Base
The project described in this paper seeks to develop a knowledge base for the domain of data processing in construction-a sub-domain of mechanical engineering-based on a corpus of authentic natural language text. Central in this undertaking is the annotation of the relevant linguistic and conceptual units and structure...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
martins-etal-2012-structured
https://aclanthology.org/N12-4002
Structured Sparsity in Natural Language Processing: Models, Algorithms and Applications
This tutorial will cover recent advances in sparse modeling with diverse applications in natural language processing (NLP). A sparse model is one that uses a relatively small number of features to map an input to an output, such as a label sequence or parse tree. The advantages of sparsity are, among others, compactnes...
false
[]
[]
null
null
null
This tutorial was enabled by support from the following organizations:
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
malmasi-dras-2014-chinese
https://aclanthology.org/E14-4019
Chinese Native Language Identification
We present the first application of Native Language Identification (NLI) to non-English data. Motivated by theories of language transfer, NLI is the task of identifying a writer's native language (L1) based on their writings in a second language (the L2). An NLI system was applied to Chinese learner texts using topicin...
false
[]
[]
null
null
null
We wish to thank Associate Professor Maolin Wang for providing access to the CLC corpus, and Zhendong Zhao for his assistance. We also thank the reviewers for their constructive feedback.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
obeidat-etal-2019-description
https://aclanthology.org/N19-1087
Description-Based Zero-shot Fine-Grained Entity Typing
Fine-grained Entity typing (FGET) is the task of assigning a fine-grained type from a hierarchy to entity mentions in the text. As the taxonomy of types evolves continuously, it is desirable for an entity typing system to be able to recognize novel types without additional training. This work proposes a zero-shot entit...
false
[]
[]
null
null
null
We thank Jordan University of Science and Technology for Ph.D. fellowship (to R. O.).
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shirai-etal-1980-trial
https://aclanthology.org/C80-1070
A Trial of Japanese Text Input System Using Speech Recognition
Since written Japanese texts are expressed by many kinds of characters, input technique is most difficult when Japanese information is processed by computers. Therefore a task-independent Japanese text input system which has a speech analyzer as a main input device and a keyboard as an auxiliary device was designed and...
false
[]
[]
null
null
null
The authors wish to thank J.Kubota, T. Kobayashi and M.Ohashi for their contributions to designing and developing this system.
1980
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
cubel-etal-2003-adapting
https://aclanthology.org/2003.eamt-1.6
Adapting finite-state translation to the TransType2 project
Machine translation can play an important role nowadays, helping communication between people. One of the projects in this field is TransType2 1. Its purpose is to develop an innovative, interactive machine translation system. TransType2 aims at facilitating the task of producing high-quality translations, and make the...
false
[]
[]
null
null
null
The authors would like to thank the reasearchers involved in the TT2 project who have developed the methodologies that are presented in this paper.This work has been supported by the European Union under the IST Programme (IST-2001-32091).
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
libovicky-pecina-2014-tolerant
https://aclanthology.org/W14-3353
Tolerant BLEU: a Submission to the WMT14 Metrics Task
This paper describes a machine translation metric submitted to the WMT14 Metrics Task. It is a simple modification of the standard BLEU metric using a monolingual alignment of reference and test sentences. The alignment is computed as a minimum weighted maximum bipartite matching of the translated and the reference sen...
false
[]
[]
null
null
null
This research has been funded by the Czech Science Foundation (grant n. P103/12/G084) and the EU FP7 project Khresmoi (contract no. 257528).
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mao-etal-2008-chinese
https://aclanthology.org/I08-4013
Chinese Word Segmentation and Named Entity Recognition Based on Conditional Random Fields
Chinese word segmentation (CWS), named entity recognition (NER) and part-ofspeech tagging is the lexical processing in Chinese language. This paper describes the work on these tasks done by France Telecom Team (Beijing) at the fourth International Chinese Language Processing Bakeoff. In particular, we employ Conditiona...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
egan-2010-cross
https://aclanthology.org/2010.amta-government.5
Cross Lingual Arabic Blog Alerting (COLABA)
null
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kaplan-1997-lexical
https://aclanthology.org/W97-1508
Lexical Resource Reconciliation in the Xerox Linguistic Environment
This paper motivates and describes those aspects of the Xerox Linguistic Environment (XLE) that facilitate the construction of broad-coverage Lexical Functional grammars by incorporating morphological and lexical material from external resources. Because that material can be incorrect, incomplete, or otherwise incompat...
false
[]
[]
null
null
null
We would like to thank the participants of the Pargram Parallel Grammar project for raising the issues motivating the work described in this paper, in particular Miriam Butt and Christian Rohrer for identifying the lexicon-related problems, and Tracy Holloway King and Marfa-Eugenia Nifio for bringing morphological prob...
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tiedemann-nygaard-2004-opus
http://www.lrec-conf.org/proceedings/lrec2004/pdf/320.pdf
The OPUS Corpus - Parallel and Free: \urlhttp://logos.uio.no/opus
The OPUS corpus is a growing collection of translated documents collected from the internet. The current version contains about 30 million words in 60 languages. The entire corpus is sentence aligned and it also contains linguistic markup for certain languages.
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
junczys-dowmunt-grundkiewicz-2016-log
https://aclanthology.org/W16-2378
Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing
This paper describes the submission of the AMU (Adam Mickiewicz University) team to the Automatic Post-Editing (APE) task of WMT 2016. We explore the application of neural translation models to the APE problem and achieve good results by treating different models as components in a log-linear model, allowing for multip...
false
[]
[]
null
null
null
This work is partially funded by the National Science Centre, Poland (Grant No. 2014/15/N/ST6/02330).
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
scicluna-strapparava-2020-vroav
https://aclanthology.org/2020.lrec-1.742
VROAV: Using Iconicity to Visually Represent Abstract Verbs
ness is a feature of semantics that limits our ability to visualise every conceivable concept represented by a word. By tapping into the visual representation of words, we explore the common semantic elements that link words to each other. Visual languages like sign languages have been found to reveal enlightening patt...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
beck-etal-2013-shef
https://aclanthology.org/W13-2241
SHEF-Lite: When Less is More for Translation Quality Estimation
We describe the results of our submissions to the WMT13 Shared Task on Quality Estimation (subtasks 1.1 and 1.3). Our submissions use the framework of Gaussian Processes to investigate lightweight approaches for this problem. We focus on two approaches, one based on feature selection and another based on active learnin...
false
[]
[]
null
null
null
This work was supported by funding from CNPq/Brazil (No. 237999/2012-9, Daniel Beck) and from the EU FP7- ICT QTLaunchPad project (No. 296347, Kashif Shah and Lucia Specia).
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aarts-1992-uniform
https://aclanthology.org/C92-4183
Uniform Recognition for Acyclic Context-Sensitive Grammars is NP-complete
Context-sensitive grammars in which each rule is of the forln aZfl-~ (-*Tfl are acyclic if the associated context-free grammar with the rules Z ~ 3' is acyclic. The problem whether an intmt string is in the language generated by an acyclic contextsensitive grammar is NP-conlplete.
false
[]
[]
null
null
null
Acknowledgements I want to thank Peter van Erode Boa.s, Reinhard Muskens, Mart Trautwein and Theo Jansen for their comments on carher versions of this paper.
1992
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
oraby-etal-2017-serious
https://aclanthology.org/W17-5537
Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog
Effective models of social dialog must understand a broad range of rhetorical and figurative devices. Rhetorical questions (RQs) are a type of figurative language whose aim is to achieve a pragmatic goal, such as structuring an argument, being persuasive, emphasizing a point, or being ironic. While there are computatio...
false
[]
[]
null
null
null
This work was funded by NSF CISE RI 1302668, under the Robust Intelligence Program.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
puduppully-etal-2019-data
https://aclanthology.org/P19-1195
Data-to-text Generation with Entity Modeling
Recent approaches to data-to-text generation have shown great promise thanks to the use of large-scale datasets and the application of neural network architectures which are trained end-to-end. These models rely on representation learning to select content appropriately, structure it coherently, and verbalize it gramma...
false
[]
[]
null
null
null
We would like to thank Adam Lopez for helpful discussions. We acknowledge the financial support of the European Research Council (Lapata; award number 681760).
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
p-r-etal-2017-hitachi
https://aclanthology.org/S17-2176
Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes
This paper describes the system developed for the task of temporal information extraction from clinical narratives in the context of the 2017 Clinical TempEval challenge. Clinical TempEval 2017 addressed the problem of temporal reasoning in the clinical domain by providing annotated clinical notes, pathology and radiol...
true
[]
[]
Good Health and Well-Being
null
null
We thank Mayo clinic and Clinical TempEval organizers for providing access to THYME corpus and other helps provided for our participation in the competition.
2017
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
slocum-1988-morphological
https://aclanthology.org/A88-1031
Morphological Processing in the Nabu System
Processing system under development in the Human Interface Laboratory at MCC, for shareholder companies. Its morphological component is designed to perform a number of different functions. This has been used to produce a complete analyzer for Arabic; very substantial analyzers for English, French, German, and Spanish; ...
false
[]
[]
null
null
null
null
1988
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
more-tsarfaty-2016-data
https://aclanthology.org/C16-1033
Data-Driven Morphological Analysis and Disambiguation for Morphologically Rich Languages and Universal Dependencies
Parsing texts into universal dependencies (UD) in realistic scenarios requires infrastructure for morphological analysis and disambiguation (MA&D) of typologically different languages as a first tier. MA&D is particularly challenging in morphologically rich languages (MRLs), where the ambiguous space-delimited tokens o...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
moss-1990-growing
https://aclanthology.org/1990.tc-1.3
The growing range of document preparation systems
What I intend to do today is to look at the complete document preparation scene from the simplest systems to the most complex. I will examine how each level is relevant to the translator and how each level relates to each other. I will finish by examining why there have been major leaps forward in document preparation ...
false
[]
[]
null
null
null
null
1990
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gu-cercone-2006-segment
https://aclanthology.org/P06-1061
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, an HMM is used to model text at the document level. This modelling might cause undesired redundancy in extraction in the sense that more than ...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schmidtke-groves-2019-automatic
https://aclanthology.org/W19-6729
Automatic Translation for Software with Safe Velocity
We report on a model for machine translation (MT) of software, without review, for the Microsoft Office product range. We have deployed an automated localisation workflow, known as Automated Translation (AT) for software, which identifies resource strings as suitable and safe for MT without post-editing. The model make...
false
[]
[]
null
null
null
The AT for software model was developed by the Office GSX (Global Service Experience) team in the Microsoft European Development Centre, from 2017 to 2018. The following people were involved; Siobhan Ashton, Antonio Benítez Lopez, Brian Comerford, Gemma Devine, Vincent Gadani, Craig Jeffares, Sankar Kumar Indraganti, A...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chu-qian-2001-locating
https://aclanthology.org/O01-2003
Locating Boundaries for Prosodic Constituents in Unrestricted Mandarin Texts
This paper proposes a three-tier prosodic hierarchy, including prosodic word, intermediate phrase and intonational phrase tiers, for Mandarin that emphasizes the use of the prosodic word instead of the lexical word as the basic prosodic unit. Both the surface difference and perceptual difference show that this is helpf...
false
[]
[]
null
null
null
The authors thank Dr. Ming Zhou for providing the block-based robust dependency parser as a toolkit for use in this study. Thanks go to everybody who took part in the perceptual test. The authors are especially grateful to all the reviewers for their valuable remarks and suggestions.
2001
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chakrabarty-etal-2020-r
https://aclanthology.org/2020.acl-main.711
R\^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
We propose an unsupervised approach for sarcasm generation based on a non-sarcastic input sentence. Our method employs a retrieve-andedit framework to instantiate two major characteristics of sarcasm: reversal of valence and semantic incongruity with the context, which could include shared commonsense or world knowledg...
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 Depart...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wan-xiao-2008-collabrank
https://aclanthology.org/C08-1122
CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction
Previous methods usually conduct the keyphrase extraction task for single documents separately without interactions for each document, under the assumption that the documents are considered independent of each other. This paper proposes a novel approach named Col-labRank to collaborative single-document keyphrase extra...
false
[]
[]
null
null
null
This work was supported by the National Science Foundation of China (No.60703064), the Research Fund for the Doctoral Program of Higher Education of China (No.20070001059)
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
stallard-1989-unification
https://aclanthology.org/H89-2006
Unification-Based Semantic Interpretation in the BBN Spoken Language System
This paper describes the current state of work on unification-based semantic interpretation in HARC (for Hear and Recognize Continous speech) the BBN Spoken Language System. It presents the implementation of an integrated syntax/semantics grammar written in a unification formalism similar to Definite Clause Grammar. Th...
false
[]
[]
null
null
null
The work reported here was supported by the Advanced Research Projects Agency and was monitored by the Office of Naval Research under Contract No. 00014-89-C-0008. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policie...
1989
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
frank-petty-2020-sequence
https://aclanthology.org/2020.crac-1.16
Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora
Reflexive anaphora present a challenge for semantic interpretation: their meaning varies depending on context in a way that appears to require abstract variables. Past work has raised doubts about the ability of recurrent networks to meet this challenge. In this paper, we explore this question in the context of a fragm...
false
[]
[]
null
null
null
For helpful comments and discussion of this work, we are grateful to Shayna Sragovicz, Noah Amsel, Tal Linzen and the members of the Computational Linguistics at Yale (CLAY) and the JHU Computation and Psycholinguistics labs. This work has been supported in part by NSF grant BCS-1919321 and a Yale College Summer Experi...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hoang-koehn-2009-improving
https://aclanthology.org/E09-1043
Improving Mid-Range Re-Ordering Using Templates of Factors
We extend the factored translation model (Koehn and Hoang, 2007) to allow translations of longer phrases composed of factors such as POS and morphological tags to act as templates for the selection and reordering of surface phrase translation. We also reintroduce the use of alignment information within the decoder, whi...
false
[]
[]
null
null
null
This work was supported by the EuroMatrix project funded by the European Commission (6th Framework Programme) and made use of the resources provided by the Edinburgh Compute and Data Facility (http://www.ecdf.ed.ac.uk/). The ECDF is partially supported by the eDIKT initiative (http://www.edikt.org.uk/).
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
volodina-etal-2021-dalaj
https://aclanthology.org/2021.nlp4call-1.3
DaLAJ -- a dataset for linguistic acceptability judgments for Swedish
We present DaLAJ 1.0, a Dataset for Linguistic Acceptability Judgments for Swedish, comprising 9 596 sentences in its first version. DaLAJ is based on the SweLL second language learner data (Volodina et al., 2019), consisting of essays at different levels of proficiency. To make sure the dataset can be freely available...
false
[]
[]
null
null
null
This work has been supported by Nationella Språkbanken -jointly funded by its 10 partner institutions and the Swedish Research Council (dnr 2017-00626), as well as partly supported by a grant from the Swedish Riksbankens Jubileumsfond (SweLL -research infrastructure for Swedish as a second language, dnr IN16-0464:1).
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hassan-etal-2011-identifying
https://aclanthology.org/P11-2104
Identifying the Semantic Orientation of Foreign Words
We present a method for identifying the positive or negative semantic orientation of foreign words. Identifying the semantic orientation of words has numerous applications in the areas of text classification, analysis of product review, analysis of responses to surveys, and mining online discussions. Identifying the se...
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This research was funded in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), through the U.S. Army Research Lab. All statements of fact, opinion or conclusions contained herein are those of the authors and should not be construed as representi...
2011
false
false
false
false
false
false
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false
false
false
zhang-chai-2021-hierarchical
https://aclanthology.org/2021.findings-acl.368
Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring
Despite recent progress, learning new tasks through language instructions remains an extremely challenging problem. On the AL-FRED benchmark for task learning, the published state-of-the-art system only achieves a task success rate of less than 10% in an unseen environment, compared to the human performance of over 90%...
false
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This work is supported by the National Science Foundation (IIS-1949634). The authors would like to thank the anonymous reviewers for their valuable comments and suggestions.
2021
false
false
false
false
false
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false
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false
tambouratzis-etal-2012-evaluating
https://aclanthology.org/C12-1157
Evaluating the Translation Accuracy of a Novel Language-Independent MT Methodology
The current paper evaluates the performance of the PRESEMT methodology, which facilitates the creation of machine translation (MT) systems for different language pairs. This methodology aims to develop a hybrid MT system that extracts translation information from large, predominantly monolingual corpora, using pattern ...
false
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null
2012
false
false
false
false
false
false
false
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false
false
rohrer-1986-linguistic
https://aclanthology.org/C86-1084
Linguistic Bases For Machine Translation
My aim in organizing this panel is to stimulate the discussion between researchers working on MT and linguists interested in formal syntax and semantics. I am convinced that a closer cooperation will be fruitful for both sides. I will be talking about experimental MT or MT as a research project and not as a development...
false
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null
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null
1986
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gabbard-kulick-2008-construct
https://aclanthology.org/P08-2053
Construct State Modification in the Arabic Treebank
Earlier work in parsing Arabic has speculated that attachment to construct state constructions decreases parsing performance. We make this speculation precise and define the problem of attachment to construct state constructions in the Arabic Treebank. We present the first statistics that quantify the problem. We provi...
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We thank Mitch Marcus, Ann Bies, Mohamed Maamouri, and the members of the Arabic Treebank project for helpful discussions. This work was supported in part under the GALE program of the Defense Advanced Research Projects Agency, Contract Nos. HR0011-06-C-0022 and HR0011-06-1-0003. The content of this paper does not nece...
2008
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false
false
false
false
false
false
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false
false
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false
hedeland-etal-2018-introducing
https://aclanthology.org/L18-1370
Introducing the CLARIN Knowledge Centre for Linguistic Diversity and Language Documentation
The European digital research infrastructure CLARIN (Common Language Resources and Technology Infrastructure) is building a Knowledge Sharing Infrastructure (KSI) to ensure that existing knowledge and expertise is easily available both for the CLARIN community and for the humanities research communities for which CLARI...
false
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null
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null
2018
false
false
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false
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false
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false
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false
false
wong-etal-2021-cross
https://aclanthology.org/2021.acl-long.548
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability
When collecting annotations and labeled data from humans, a standard practice is to use inter-rater reliability (IRR) as a measure of data goodness (Hallgren, 2012). Metrics such as Krippendorff's alpha or Cohen's kappa are typically required to be above a threshold of 0.6 (Landis and Koch, 1977). These absolute thresh...
false
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[]
null
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null
We like to thank Gautam Prasad and Alan Cowen for their work on collecting and sharing the IRep dataset and opensourcing it.
2021
false
false
false
false
false
false
false
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false
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false
false
false
gandhe-traum-2010-ive
https://aclanthology.org/W10-4345
I've said it before, and I'll say it again: An empirical investigation of the upper bound of the selection approach to dialogue
We perform a study of existing dialogue corpora to establish the theoretical maximum performance of the selection approach to simulating human dialogue behavior in unseen dialogues. This maximum is the proportion of test utterances for which an exact or approximate match exists in the corresponding training corpus. The...
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null
This work has been sponsored by the U.S. Army Research, Development, and Engineering Command (RDE-COM). Statements and opinions expressed do not necessarily reflect the position or the policy of the United States Government, and no official endorsement should be inferred. We would like to thank Ron Artstein and others ...
2010
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false
celano-2020-gradient
https://aclanthology.org/2020.lt4hala-1.19
A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization
The paper presents the system used in the EvaLatin shared task to POS tag and lemmatize Latin. It consists of two components. A gradient boosting machine (LightGBM) is used for POS tagging, mainly fed with pre-computed word embeddings of a window of seven contiguous tokens-the token at hand plus the three preceding and...
false
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null
null
null
null
2020
false
false
false
false
false
false
false
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false
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false
false
pluss-piwek-2016-measuring
https://aclanthology.org/C16-1181
Measuring Non-cooperation in Dialogue
This paper introduces a novel method for measuring non-cooperation in dialogue. The key idea is that linguistic non-cooperation can be measured in terms of the extent to which dialogue participants deviate from conventions regarding the proper introduction and discharging of conversational obligations (e.g., the obliga...
false
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null
null
null
null
2016
false
false
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false
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false
false
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false
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false
false
false
sun-etal-2020-colake
https://aclanthology.org/2020.coling-main.327
CoLAKE: Contextualized Language and Knowledge Embedding
With the emerging branch of incorporating factual knowledge into pre-trained language models such as BERT, most existing models consider shallow, static, and separately pre-trained entity embeddings, which limits the performance gains of these models. Few works explore the potential of deep contextualized knowledge rep...
false
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null
null
null
null
2020
false
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false
false
harkema-etal-2004-large-scale
https://aclanthology.org/W04-3110
A Large Scale Terminology Resource for Biomedical Text Processing
In this paper we discuss the design, implementation, and use of Termino, a large scale terminological resource for text processing. Dealing with terminology is a difficult but unavoidable task for language processing applications, such as Information Extraction in technical domains. Complex, heterogeneous information m...
true
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[]
Good Health and Well-Being
null
null
null
2004
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
abercrombie-batista-navarro-2020-parlvote
https://aclanthology.org/2020.lrec-1.624
ParlVote: A Corpus for Sentiment Analysis of Political Debates
Debate transcripts from the UK Parliament contain information about the positions taken by politicians towards important topics, but are difficult for people to process manually. While sentiment analysis of debate speeches could facilitate understanding of the speakers' stated opinions, datasets currently available for...
true
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[]
Peace, Justice and Strong Institutions
null
null
The authors would like to thank the anonymous reviewers for their helpful comments.
2020
false
false
false
false
false
false
false
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false
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false
true
false
kibble-van-deemter-2000-coreference
http://www.lrec-conf.org/proceedings/lrec2000/pdf/100.pdf
Coreference Annotation: Whither?
The terms coreference and anaphora tend to be used inconsistently and interchangeably in much empirically-oriented work in NLP, and this threatens to lead to incoherent analyses of texts and arbitrary loss of information. This paper discusses the role of coreference annotation in Information Extraction, focussing on th...
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We are grateful to Lynette Hirschman and Breck Baldwin for their very constructive responses to a presentation on the topic of this paper (van Deemter and Kibble, 1999). Rodger Kibble's participation in this research was funded by the UK EPSRC as part of the GNOME (GR/L51126) and RAGS (GR/L77102) projects.
2000
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false
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false
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false
sikdar-gamback-2016-feature
https://aclanthology.org/W16-3922
Feature-Rich Twitter Named Entity Recognition and Classification
Twitter named entity recognition is the process of identifying proper names and classifying them into some predefined labels/categories. The paper introduces a Twitter named entity system using a supervised machine learning approach, namely Conditional Random Fields. A large set of different features was developed and ...
false
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null
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null
2016
false
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false
false
false
false
barthelemy-2009-karamel
https://aclanthology.org/W09-0802
The Karamel System and Semitic Languages: Structured Multi-Tiered Morphology
Karamel is a system for finite-state morphology which is multi-tape and uses a typed Cartesian product to relate tapes in a structured way. It implements statically compiled feature structures. Its language allows the use of regular expressions and Generalized Restriction rules to define multi-tape transducers. Both si...
false
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[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sanchez-badeka-2014-linguistic
https://aclanthology.org/2014.amta-users.1
Linguistic QA for MT of user-generated content at eBay
null
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
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false
false
skadina-pinnis-2017-nmt
https://aclanthology.org/I17-1038
NMT or SMT: Case Study of a Narrow-domain English-Latvian Post-editing Project
The recent technological shift in machine translation from statistical machine translation (SMT) to neural machine translation (NMT) raises the question of the strengths and weaknesses of NMT. In this paper, we present an analysis of NMT and SMT systems' outputs from narrow domain English-Latvian MT systems that were t...
false
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[]
null
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null
We would like to thank Tilde's Localization Department for the hard work they did to prepare material for the analysis presented in this paper. The work within the QT21 project has received funding from the European Union under grant agreement n • 645452. The research has been supported by the ICT Competence Centre (ww...
2017
false
false
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false
false
false
false
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false
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false
false
false
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false
false
blache-2014-challenging
https://aclanthology.org/W14-0501
Challenging incrementality in human language processing: two operations for a cognitive architecture
The description of language complexity and the cognitive load related to the different linguistic phenomena is a key issue for the understanding of language processing. Many studies have focused on the identification of specific parameters that can lead to a simplification or on the contrary to a complexification of th...
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null
This work, carried out within the Labex BLRI (ANR-11-LABX-0036), has benefited from support from the French government, managed by the French National Agency for Research (ANR), under the project title Investments of the Future A*MIDEX (ANR-11-IDEX-0001-02).
2014
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false
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false
trojahn-etal-2008-framework
http://www.lrec-conf.org/proceedings/lrec2008/pdf/270_paper.pdf
A Framework for Multilingual Ontology Mapping
In the field of ontology mapping, multilingual ontology mapping is an issue that is not well explored. This paper proposes a framework for mapping of multilingual Description Logics (DL) ontologies. First, the DL source ontology is translated to the target ontology language, using a lexical database or a dictionary, ge...
false
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null
null
null
null
2008
false
false
false
false
false
false
false
false
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false
false
false
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false
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false
false
litman-1986-linguistic
https://aclanthology.org/P86-1033
Linguistic Coherence: A Plan-Based Alternative
To fully understand a sequence of utterances, one must be able to infer implicit relationships between the utterances. Although the identification of sets of utterance relationships forms the basis for many theories of discourse, the formalization and recognition of such relationships has proven to be an extremely diff...
false
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[]
null
null
null
I would like to thank Julia Hirschberg, Marcia Derr, Mark Jones, Mark Kahrs, and Henry Kautz for their helpful comments on drafts of this paper.
1986
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dragoni-2018-neurosent
https://aclanthology.org/S18-1013
NEUROSENT-PDI at SemEval-2018 Task 1: Leveraging a Multi-Domain Sentiment Model for Inferring Polarity in Micro-blog Text
This paper describes the NeuroSent system that participated in SemEval 2018 Task 1. Our system takes a supervised approach that builds on neural networks and word embeddings. Word embeddings were built by starting from a repository of user generated reviews. Thus, they are specific for sentiment analysis tasks. Then, t...
true
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[]
Peace, Justice and Strong Institutions
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
true
false
brixey-etal-2017-shihbot
https://aclanthology.org/W17-5544
SHIHbot: A Facebook chatbot for Sexual Health Information on HIV/AIDS
We present the implementation of an autonomous chatbot, SHIHbot, deployed on Facebook, which answers a wide variety of sexual health questions on HIV/AIDS. The chatbot's response database is compiled from professional medical and public health resources in order to provide reliable information to users. The system's ba...
true
[]
[]
Good Health and Well-Being
null
null
Many thanks to Professors Milind Tambe and Eric Rice for helping to develop this work and for promoting artificial intelligence for social good. The first, seventh and eighth authors were supported in part by the U.S. Army; statements and opinions expressed do not necessarily reflect the position or the policy of the U...
2017
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
do-carmo-2019-edit
https://aclanthology.org/W19-7001
Edit distances do not describe editing, but they can be useful for translation process research
Translation process research (TPR) aims at describing what translators do, and one of the technical dimensions of translators' work is editing (applying detailed changes to text). In this presentation, we will analyze how different methods for process data collection describe editing. We will review keyloggers used in ...
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This Project has received funding from the European Union's Horizon 2020 research and innovation programme under the EDGE COFUND Marie Skłodowska-Curie Grant Agreement no. 713567. This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number 1...
2019
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false