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cases-etal-2019-recursive
https://aclanthology.org/N19-1365
Recursive Routing Networks: Learning to Compose Modules for Language Understanding
We introduce Recursive Routing Networks (RRNs), which are modular, adaptable models that learn effectively in diverse environments. RRNs consist of a set of functions, typically organized into a grid, and a meta-learner decision-making component called the router. The model jointly optimizes the parameters of the funct...
false
[]
[]
null
null
null
We thank George Supaniratisai, Arun Chaganty, Kenny Xu and Abi See for valuable discussions, and the anonymous reviewers for their useful suggestions. Clemens Rosenbaum was a recipient of an IBM PhD Fellowship while working on this publication. We acknowledge the Office of the Vice Provost for Undergraduate Education a...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rapaport-shapiro-1984-quasi
https://aclanthology.org/P84-1016
Quasi-Indexical Reference in Propositional Semantic Networks
We discuss how a deductive question-answering system can represent the beliefs or other cognitive states of users, of other (interacting) systems, and of itself.
false
[]
[]
null
null
null
null
1984
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ryu-1996-argument
https://aclanthology.org/Y96-1034
Argument Structure and Unaccusativity in the Constraint-based Lexicon
This paper addresses the issue of Split Intransitivity (si) and Unaccusative Mismatches (uMs), proposing a constraint-based approach to si and ums within a recent framework of Head-driven Phrase Structure Grammar. I argue against the widely accepted dichotomous distinction of intransitive verbs, which has been advanced...
false
[]
[]
null
null
null
null
1996
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-1995-preferred
https://aclanthology.org/Y95-1029
Preferred Clause Structure in Mandarin Spoken and Written Discourse
This paper studies the preferred clause structure in Mandarin. Tao's [I] pioneering work proposed the following "preferred clause structure in conversational Mandarin":
false
[]
[]
null
null
null
null
1995
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
windhouwer-2012-relcat
http://www.lrec-conf.org/proceedings/lrec2012/pdf/954_Paper.pdf
RELcat: a Relation Registry for ISOcat data categories
The ISOcat Data Category Registry contains basically a flat and easily extensible list of data category specifications. To foster reuse and standardization only very shallow relationships among data categories are stored in the registry. However, to assist crosswalks, possibly based on personal views, between various (...
false
[]
[]
null
null
null
Thanks to early adaptors Matej Durco (SMC4LRT), Irina Nevskaya (RELISH) and Ineke Schuurman (CLARIN-NL/VL) for driving this first version of RELcat forward.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
strobelt-etal-2021-lmdiff
https://aclanthology.org/2021.emnlp-demo.12
LMdiff: A Visual Diff Tool to Compare Language Models
While different language models are ubiquitous in NLP, it is hard to contrast their outputs and identify which contexts one can handle better than the other. To address this question, we introduce LMDIFF, a tool that visually compares probability distributions of two models that differ, e.g., through finetuning, distil...
false
[]
[]
null
null
null
We thank Ankur Parikh and Ian Tenney for helpful comments on an earlier draft of this paper. This work was supported by the MIT-IBM Watson AI Lab. This work has been developed in part during the BigScience Summer of Language Models 2021.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
taghipour-ng-2016-neural
https://aclanthology.org/D16-1193
A Neural Approach to Automated Essay Scoring
Traditional automated essay scoring systems rely on carefully designed features to evaluate and score essays. The performance of such systems is tightly bound to the quality of the underlying features. However, it is laborious to manually design the most informative features for such a system. In this paper, we develop...
true
[]
[]
Quality Education
null
null
This research is supported by Singapore Ministry of Education Academic Research Fund Tier 2 grant MOE2013-T2-1-150. We are also grateful to the anonymous reviewers for their helpful comments.
2016
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
papageorgiou-etal-2000-unified
http://www.lrec-conf.org/proceedings/lrec2000/pdf/181.pdf
A Unified POS Tagging Architecture and its Application to Greek
This paper proposes a flexible and unified tagging architecture that could be incorporated into a number of applications like information extraction, cross-language information retrieval, term extraction, or summarization, while providing an essential component for subsequent syntactic processing or lexicographical wor...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
reiter-etal-2008-resource
https://aclanthology.org/W08-2231
A Resource-Poor Approach for Linking Ontology Classes to Wikipedia Articles
The applicability of ontologies for natural language processing depends on the ability to link ontological concepts and relations to their realisations in texts. We present a general, resource-poor account to create such a linking automatically by extracting Wikipedia articles corresponding to ontology classes. We eval...
false
[]
[]
null
null
null
Acknowledgements. We kindly thank our annotators for their effort and Rüdiger Wolf for technical support.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
saleh-etal-2014-study
https://aclanthology.org/C14-1020
A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling
This paper presents an empirical study on using syntactic and semantic information for Concept Segmentation and Labeling (CSL), a well-known component in spoken language understanding. Our approach is based on reranking N-best outputs from a state-of-the-art CSL parser. We perform extensive experimentation by comparing...
false
[]
[]
null
null
null
This research is developed by the Arabic Language Technologies (ALT) group at Qatar Computing Research Institute (QCRI) within the Qatar Foundation in collaboration with MIT. It is part of the Interactive sYstems for Answer Search (Iyas) project.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
malmasi-etal-2015-norwegian
https://aclanthology.org/R15-1053
Norwegian Native Language Identification
We present a study of Native Language Identification (NLI) using data from learners of Norwegian, a language not yet used for this task. NLI is the task of predicting a writer's first language using only their writings in a learned language. We find that three feature types, function words, part-of-speech n-grams and a...
false
[]
[]
null
null
null
We would like to thank Kari Tenfjord and Paul Meurer for providing access to the ASK corpus and their assistance in using the data.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
siblini-etal-2021-towards
https://aclanthology.org/2021.acl-short.130
Towards a more Robust Evaluation for Conversational Question Answering
With the explosion of chatbot applications, Conversational Question Answering (CQA) has generated a lot of interest in recent years. Among proposals, reading comprehension models which take advantage of the conversation history (previous QA) seem to answer better than those which only consider the current question. Nev...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dudy-etal-2018-multi
https://aclanthology.org/W18-1210
A Multi-Context Character Prediction Model for a Brain-Computer Interface
Brain-computer interfaces and other augmentative and alternative communication devices introduce language-modeing challenges distinct from other character-entry methods. In particular, the acquired signal of the EEG (electroencephalogram) signal is noisier, which, in turn, makes the user intent harder to decipher. In o...
false
[]
[]
null
null
null
We would like to thank the reviewers of the SCLeM workshop for their insightful comments and feedback. We also would like to thank Brian Roark for his helpful advice, as well as our clinical team in the Institute on Development & Disability at OHSU. Research reported in this paper was supported the National Institute o...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
danieli-etal-2004-evaluation
http://www.lrec-conf.org/proceedings/lrec2004/pdf/371.pdf
Evaluation of Consensus on the Annotation of Prosodic Breaks in the Romance Corpus of Spontaneous Speech ``C-ORAL-ROM''
CORAL -ROM, Integrated Reference Corpora For Spoken Romance Languages, is a multilingual corpus of spontaneous speech delivered within the IST Program. Corpora are tagged with respect to terminal and non terminal prosodic breaks. Terminal breaks are considered the most perceptively relevant cues to determine the uttera...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
quirk-etal-2015-language
https://aclanthology.org/P15-1085
Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes
Using natural language to write programs is a touchstone problem for computational linguistics. We present an approach that learns to map natural-language descriptions of simple "if-then" rules to executable code. By training and testing on a large corpus of naturally-occurring programs (called "recipes") and their nat...
false
[]
[]
null
null
null
The authors would like to thank William Dolan and the anonymous reviewers for their helpful advice and suggestions.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sakaji-etal-2019-financial
https://aclanthology.org/W19-5507
Financial Text Data Analytics Framework for Business Confidence Indices and Inter-Industry Relations
In this paper, we propose a novel framework for analyzing inter-industry relations using the contact histories of local banks. Contact histories are data recorded when employees communicate with customers. By analyzing contact histories, we can determine business confidence levels in the local region and analyze inter-...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wu-etal-2021-newsbert-distilling
https://aclanthology.org/2021.findings-emnlp.280
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application
Pre-trained language models (PLMs) like BERT have made great progress in NLP. News articles usually contain rich textual information, and PLMs have the potentials to enhance news text modeling for various intelligent news applications like news recommendation and retrieval. However, most existing PLMs are in huge size ...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
This work was supported by the National Natural Science Foundation of China under Grant numbers 82090053, 61862002, and Tsinghua-Toyota Research Funds 20213930033.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
bengler-2000-automotive
http://www.lrec-conf.org/proceedings/lrec2000/pdf/312.pdf
Automotive Speech-Recognition - Success Conditions Beyond Recognition Rates
From a car-manufacturer's point of view it is very important to integrate evaluation procedures into the MMI development process. Focusing the usability evaluation of speech-input and speech-output systems aspects beyond recognition rates must be fulfilled. Two of these conditions will be discussed based upon user stud...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lin-2002-web
http://www.lrec-conf.org/proceedings/lrec2002/pdf/85.pdf
The Web as a Resource for Question Answering: Perspectives and Challenges
The vast amounts of information readily available on the World Wide Web can be effectively used for question answering in two fundamentally different ways. In the federated approach, techniques for handling semistructured data are applied to access Web sources as if they were databases, allowing large classes of common...
false
[]
[]
null
null
null
I'd like to thank Boris Katz, Greg Marton, and Vineet Sinha for their helpful comments on earlier drafts.
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schulte-im-walde-2006-experiments
https://aclanthology.org/J06-2001
Experiments on the Automatic Induction of German Semantic Verb Classes
This article presents clustering experiments on German verbs: A statistical grammar model for German serves as the source for a distributional verb description at the lexical syntax-semantics interface, and the unsupervised clustering algorithm k-means uses the empirical verb properties to perform an automatic inductio...
false
[]
[]
null
null
null
The work reported here was performed while the author was a member of the DFG-funded PhD program "Graduiertenkolleg" Sprachliche Repräsentationen und ihre Interpretation at the Institute for Natural Language Processing (IMS), University of Stuttgart, Germany. Many thanks to Helmut Schmid, Stefan Evert, Frank Keller, Sc...
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
turchi-etal-2014-adaptive
https://aclanthology.org/P14-1067
Adaptive Quality Estimation for Machine Translation
The automatic estimation of machine translation (MT) output quality is a hard task in which the selection of the appropriate algorithm and the most predictive features over reasonably sized training sets plays a crucial role. When moving from controlled lab evaluations to real-life scenarios the task becomes even harde...
false
[]
[]
null
null
null
This work has been partially supported by the ECfunded project MateCat (ICT-2011.4.2-287688).
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kongthon-etal-2011-semantic
https://aclanthology.org/W11-3106
A Semantic Based Question Answering System for Thailand Tourism Information
This paper reports our ongoing research work to create a semantic based question answering system for Thailand tourism information. Our proposed system focuses on mapping expressions in Thai natural language into ontology query language (SPARQL).
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schatzmann-etal-2007-agenda
https://aclanthology.org/N07-2038
Agenda-Based User Simulation for Bootstrapping a POMDP Dialogue System
This paper investigates the problem of bootstrapping a statistical dialogue manager without access to training data and proposes a new probabilistic agenda-based method for simulating user behaviour. In experiments with a statistical POMDP dialogue system, the simulator was realistic enough to successfully test the pro...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hazem-hernandez-2019-meta
https://aclanthology.org/R19-1055
Meta-Embedding Sentence Representation for Textual Similarity
Word embedding models are now widely used in most NLP applications. Despite their effectiveness, there is no clear evidence about the choice of the most appropriate model. It often depends on the nature of the task and on the quality and size of the used data sets. This remains true for bottom-up sentence embedding mod...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
carlberger-etal-2001-improving
https://aclanthology.org/W01-1703
Improving Precision in Information Retrieval for Swedish using Stemming
We will in this paper present an evaluation 1 of how much stemming improves precision in information retrieval for Swedish texts. To perform this, we built an information retrieval tool with optional stemming and created a tagged corpus in Swedish. We know that stemming in information retrieval for English, Dutch and S...
false
[]
[]
null
null
null
We would like to thank the search engine team and specifically Jesper Ekhall at Euroseek AB for their support with the integration of our stemming algorithms in their search engine and allowing us to use their search engine in our experiments.
2001
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dredze-crammer-2008-active
https://aclanthology.org/P08-2059
Active Learning with Confidence
Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of previous approaches based on discriminative learning use the margin for choosing instances. We present a method for incorporating confidence i...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ji-etal-2020-span
https://aclanthology.org/2020.coling-main.8
Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations
Span-based joint extraction models have shown their efficiency on entity recognition and relation extraction. These models regard text spans as candidate entities and span tuples as candidate relation tuples. Span semantic representations are shared in both entity recognition and relation extraction, while existing mod...
false
[]
[]
null
null
null
The work is supported by the National Key Research and Development Program of China (2018YFB1004502) and the National Natural Science Foundation of China (61532001).
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
poelitz-bartz-2014-enhancing
https://aclanthology.org/W14-0606
Enhancing the possibilities of corpus-based investigations: Word sense disambiguation on query results of large text corpora
Common large digital text corpora do not distinguish between different meanings of word forms, intense manual effort has to be done for disambiguation tasks when querying for homonyms or polysemes. To improve this situation, we ran experiments with automatic word sense disambiguation methods operating directly on the o...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rondeau-hazen-2018-systematic
https://aclanthology.org/W18-2602
Systematic Error Analysis of the Stanford Question Answering Dataset
We analyzed the outputs of multiple question answering (QA) models applied to the Stanford Question Answering Dataset (SQuAD) to identify the core challenges for QA systems on this data set. Through an iterative process, challenging aspects were hypothesized through qualitative analysis of the common error cases. A cla...
false
[]
[]
null
null
null
We would like to thank Eric Lin, Peter Potash, Yadollah Yaghoobzadeh, and Kaheer Suleman for their feedback and helpful comments. We also thanks the anonymous reviewers for their comments.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2021-fine-grained
https://aclanthology.org/2021.findings-emnlp.9
Fine-grained Semantic Alignment Network for Weakly Supervised Temporal Language Grounding
Temporal language grounding (TLG) aims to localize a video segment in an untrimmed video based on a natural language description. To alleviate the expensive cost of manual annotations for temporal boundary labels, we are dedicated to the weakly supervised setting, where only video-level descriptions are provided for tr...
false
[]
[]
null
null
null
This work was supported by the National Natural Science Foundation of China under Contract 61632019.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zeng-etal-2021-gene
https://aclanthology.org/2021.textgraphs-1.5
GENE: Global Event Network Embedding
Current methods for event representation ignore related events in a corpus-level global context. For a deep and comprehensive understanding of complex events, we introduce a new task, Event Network Embedding, which aims to represent events by capturing the connections among events. We propose a novel framework, Global ...
false
[]
[]
null
null
null
This research is based upon work supported in part by U.S. DARPA KAIROS Program No. FA8750-19-2-1004, U.S. DARPA AIDA Program No. FA8750-18-2-0014, Air Force No. FA8650-17-C-7715. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official p...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bagherbeygi-shamsfard-2012-corpus
http://www.lrec-conf.org/proceedings/lrec2012/pdf/1013_Paper.pdf
Corpus based Semi-Automatic Extraction of Persian Compound Verbs and their Relations
Nowadays, Wordnet is used in natural language processing as one of the major linguistic resources. Having such a resource for Persian language helps researchers in computational linguistics and natural language processing fields to develop more accurate systems with higher performances. In this research, we propose a m...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
geertzen-etal-2007-multidimensional
https://aclanthology.org/2007.sigdial-1.26
A Multidimensional Approach to Utterance Segmentation and Dialogue Act Classification
In this paper we present a multidimensional approach to utterance segmentation and automatic dialogue act classif cation. We show that the use of multiple dimensions in distinguishing and annotating units not only supports a more accurate analysis of human communication, but can also help to solve some notorious proble...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zanzotto-etal-2006-discovering
https://aclanthology.org/P06-1107
Discovering Asymmetric Entailment Relations between Verbs Using Selectional Preferences
In this paper we investigate a novel method to detect asymmetric entailment relations between verbs. Our starting point is the idea that some point-wise verb selectional preferences carry relevant semantic information. Experiments using Word-Net as a gold standard show promising results. Where applicable, our method, u...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
guthrie-etal-2008-unsupervised
http://www.lrec-conf.org/proceedings/lrec2008/pdf/866_paper.pdf
An Unsupervised Probabilistic Approach for the Detection of Outliers in Corpora
Many applications of computational linguistics are greatly influenced by the quality of corpora available and as automatically generated corpora continue to play an increasingly common role, it is essential that we not overlook the importance of well-constructed and homogeneous corpora. This paper describes an automati...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
al-natsheh-etal-2017-udl
https://aclanthology.org/S17-2013
UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features
This paper describes the model UdL we proposed to solve the semantic textual similarity task of SemEval 2017 workshop. The track we participated in was estimating the semantics relatedness of a given set of sentence pairs in English. The best run out of three submitted runs of our model achieved a Pearson correlation s...
false
[]
[]
null
null
null
We would like to thank ARC6 Auvergne-Rhône-Alpes that funds the current PhD studies of the first author and the program "Investissements d'Avenir" ISTEX for funding the post-doctoral position of the second author.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
braschler-etal-2000-evaluation
http://www.lrec-conf.org/proceedings/lrec2000/pdf/70.pdf
The Evaluation of Systems for Cross-language Information Retrieval
We describe the creation of an infrastructure for the testing of cross-language text retrieval systems within the context of the Text REtrieval Conferences (TREC) organised by the US National Institute of Standards and Technology (NIST). The approach adopted and the issues that had to be taken into consideration when b...
false
[]
[]
null
null
null
We gratefully acknowledge the support of all the data providers and copyright holders, and in particular: Newswires: Associated Press, USA; SDA -Schweizerische Depeschenagentur, Switzerland.
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
oneill-mctear-1999-object
https://aclanthology.org/E99-1004
An Object-Oriented Approach to the Design of Dialogue Management Functionality
Dialogues may be seen as comprising commonplace routines on the one hand and specialized, task-specific interactions on the other. Object-orientation is an established means of separating the generic from the specialized. The system under discussion combines this objectoriented approach with a self-organizing, mixed-in...
false
[]
[]
null
null
null
null
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
roemmele-etal-2021-answerquest
https://aclanthology.org/2021.eacl-demos.6
AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents
One strategy for facilitating reading comprehension is to present information in a questionand-answer format. We demo a system that integrates the tasks of question answering (QA) and question generation (QG) in order to produce Q&A items that convey the content of multi-paragraph documents. We report some experiments ...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ballard-tinkham-1984-phrase
https://aclanthology.org/J84-2001
A Phrase-Structured Grammatical Framework for Transportable Natural Language Processing
We present methods of dealing with the syntactic problems that arise in the construction of natural language processors that seek to allow users, as opposed to computational linguists, to customize an interface to operate with a new domain of data. In particular, we describe a grammatical formalism, based on augmented ...
false
[]
[]
null
null
null
null
1984
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
martschat-etal-2015-analyzing
https://aclanthology.org/N15-3002
Analyzing and Visualizing Coreference Resolution Errors
We present a toolkit for coreference resolution error analysis. It implements a recently proposed analysis framework and contains rich components for analyzing and visualizing recall and precision errors.
false
[]
[]
null
null
null
This work has been funded by the Klaus Tschira Foundation, Heidelberg, Germany. The first author has been supported by a HITS PhD scholarship.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hoffman-etal-1963-application
https://aclanthology.org/1963.earlymt-1.16
Application of decision tables to syntactic analysis
null
false
[]
[]
null
null
null
null
1963
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
beltagy-etal-2019-scibert
https://aclanthology.org/D19-1371
SciBERT: A Pretrained Language Model for Scientific Text
Obtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive. We release SCIBERT, a pretrained language model based on BERT (Devlin et al., 2019) to address the lack of highquality, large-scale labeled scientific data. SCIBERT leverages unsupervised pretraining on a large mul...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
We thank the anonymous reviewers for their comments and suggestions. We also thank Waleed Ammar, Noah Smith, Yoav Goldberg, Daniel King, Doug Downey, and Dan Weld for their helpful discussions and feedback. All experiments were performed on beaker.org and supported in part by credits from Google Cloud.
2019
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
fillwock-traum-2018-identification
https://aclanthology.org/L18-1629
Identification of Personal Information Shared in Chat-Oriented Dialogue
We present an analysis of how personal information is shared in chat-oriented dialogue. We develop an annotation scheme, including entity-types, attributes, and values, that can be used to annotate the presence and type of personal information in these dialogues. A collection of attribute types is identified from the a...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
keesing-etal-2020-convolutional
https://aclanthology.org/2020.alta-1.13
Convolutional and Recurrent Neural Networks for Spoken Emotion Recognition
We test four models proposed in the speech emotion recognition (SER) literature on 15 public and academic licensed datasets in speaker-independent cross-validation. Results indicate differences in the performance of the models which is partly dependent on the dataset and features used. We also show that a standard utte...
false
[]
[]
null
null
null
The authors would like to thank the University of Auckland for funding this research through a PhD scholarship. We would like to thank in particular the School of Computer Science for providing the computer hardware to train and test these models. We would also like to thank the anonymous reviewers who submitted helpfu...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kunilovskaya-etal-2021-fiction
https://aclanthology.org/2021.ranlp-1.84
Fiction in Russian Translation: A Translationese Study
This paper presents a translationese study based on the parallel data from the Russian National Corpus (RNC). We explored differences between literary texts originally authored in Russian and fiction translated into Russian from 11 languages. The texts are represented with frequency-based features that capture structur...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kim-etal-2021-mostly
https://aclanthology.org/2021.naloma-1.9
A (Mostly) Symbolic System for Monotonic Inference with Unscoped Episodic Logical Forms
We implement the formalization of natural logic-like monotonic inference using Unscoped Episodic Logical Forms (ULFs) by Kim et al. (2020). We demonstrate this system's capacity to handle a variety of challenging semantic phenomena using the FraCaS dataset (Cooper et al., 1996).These results give empirical evidence for...
false
[]
[]
null
null
null
This work was supported by NSF EAGER grant NSF IIS-1908595, DARPA CwC subcontract W911NF-15-1-0542, and a Sproull Graduate Fellowship from the University of Rochester. We are grateful to the anonymous reviewers for their helpful feedback.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
litman-etal-2006-characterizing
https://aclanthology.org/J06-3004
Characterizing and Predicting Corrections in Spoken Dialogue Systems
This article focuses on the analysis and prediction of corrections, defined as turns where a user tries to correct a prior error made by a spoken dialogue system. We describe our labeling procedure of various corrections types and statistical analyses of their features in a corpus collected from a train information spo...
false
[]
[]
null
null
null
Marc Swerts is also affiliated with the University of Antwerp. His research is sponsored by the Netherlands Organisation for Scientific Research (NWO). This work was performed when the authors were at AT&T Labs-Research.
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
belz-2005-statistical
https://aclanthology.org/W05-1601
Statistical Generation: Three Methods Compared and Evaluated
Statistical NLG has largely meant n-gram modelling which has the considerable advantages of lending robustness to NLG systems, and of making automatic adaptation to new domains from raw corpora possible. On the downside, n-gram models are expensive to use as selection mechanisms and have a built-in bias towards shorter...
false
[]
[]
null
null
null
The research reported in this paper is part of the CoGenT project, an ongoing research project supported under UK EP-SRC Grant GR/S24480/01. Many thanks to John Carroll, Roger Evans and Richard Power, as well as to the anonymous reviewers, for very helpful comments.
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bergmair-2009-proposal
https://aclanthology.org/W09-2502
A Proposal on Evaluation Measures for RTE
We outline problems with the interpretation of accuracy in the presence of bias, arguing that the issue is a particularly pressing concern for RTE evaluation. Furthermore, we argue that average precision scores are unsuitable for RTE, and should not be reported. We advocate mutual information as a new evaluation measur...
false
[]
[]
null
null
null
I would like to thank the anonymous reviewers and my colleague Ekaterina Shutova for providing many helpful comments and my supervisor Ann Copestake for reading multiple drafts of this paper and providing a great number of suggestions within a very short timeframe. All errors and omissions are, of course, entirely my o...
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hellwig-etal-2018-multi
https://aclanthology.org/L18-1011
Multi-layer Annotation of the Rigveda
The paper introduces a multi-level annotation of the R. GVEDA, a fundamental Sanskrit text composed in the 2. millenium BCE that is important for South-Asian and Indo-European linguistics, as well as Cultural Studies. We describe the individual annotation levels, including phonetics, morphology, lexicon, and syntax, an...
false
[]
[]
null
null
null
Research for this project was partially funded by the Cluster of Excellence "Multimodal Computing and Interaction" of German Science Foundation (DFG). We thank the Akademie der Wissenschaften und der Literatur Mainz for hosting the annotated corpus.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ciobanu-etal-2015-readability
https://aclanthology.org/R15-1014
Readability Assessment of Translated Texts
In this paper we investigate how readability varies between texts originally written in English and texts translated into English. For quantification, we analyze several factors that are relevant in assessing readability-shallow, lexical and morpho-syntactic features-and we employ the widely used Flesch-Kincaid formula...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their helpful and constructive comments. The contribution of the authors to this paper is equal. Liviu P. Dinu was supported by UEFISCDI, PNII-ID-PCE-2011-3-0959.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
miller-etal-2014-employing
https://aclanthology.org/W14-5308
Employing Phonetic Speech Recognition for Language and Dialect Specific Search
We discuss the notion of language and dialect-specific search in the context of audio indexing. A system is described where users can find dialect or language-specific pronunciations of Afghan placenames in Dari and Pashto. We explore the efficacy of a phonetic speech recognition system employed in this task.
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pecar-2018-towards
https://aclanthology.org/P18-3001
Towards Opinion Summarization of Customer Reviews
In recent years, the number of texts has grown rapidly. For example, most reviewbased portals, like Yelp or Amazon, contain thousands of user-generated reviews. It is impossible for any human reader to process even the most relevant of these documents. The most promising tool to solve this task is a text summarization....
false
[]
[]
null
null
null
I would like to thank my supervisors Marian Simko and Maria Bielikova. This work has been partially supported by the STU Grant scheme for Support of Young Researchers and grants No. VG 1/0646/15 and No. KEGA 028STU-4/2017.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
montgomery-1997-fulcrum
https://aclanthology.org/1997.mtsummit-plenaries.5
The Fulcrum Approach to Machine Translation
In a paper from a distinguished collection of papers prepared for a 1959 course entitled "Computer Programming and Artificial Intelligence," Paul Garvin described two types of machine translation problems "in terms of the two components of the term: machine problems, and translation problems." While the machine problem...
false
[]
[]
null
null
null
null
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
corpas-pastor-etal-2008-translation
https://aclanthology.org/2008.amta-papers.5
Translation universals: do they exist? A corpus-based NLP study of convergence and simplification
Convergence and simplification are two of the so-called universals in translation studies. The first one postulates that translated texts tend to be more similar than nontranslated texts. The second one postulates that translated texts are simpler, easier-tounderstand than non-translated ones. This paper discusses the ...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
brun-2012-learning
https://aclanthology.org/C12-2017
Learning Opinionated Patterns for Contextual Opinion Detection
This paper tackles the problem of polar vocabulary ambiguity. While some opinionated words keep their polarity in any context and/or across any domain (except for the ironic style that goes beyond the present article), some other have an ambiguous polarity which is highly dependent of the context or the domain: in this...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
turton-etal-2021-deriving
https://aclanthology.org/2021.repl4nlp-1.26
Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings
Models based on the transformer architecture, such as BERT, have marked a crucial step forward in the field of Natural Language Processing. Importantly, they allow the creation of word embeddings that capture important semantic information about words in context. However, as single entities, these embeddings are diffic...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gemes-recski-2021-tuw
https://aclanthology.org/2021.germeval-1.10
TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments
This paper describes our methods submitted for the GermEval 2021 shared task on identifying toxic, engaging and factclaiming comments in social media texts (Risch et al., 2021). We explore simple strategies for semi-automatic generation of rule-based systems with high precision and low recall, and use them to achieve s...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
Research conducted in collaboration with Botium GmbH.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
temnikova-cohen-2013-recognizing
https://aclanthology.org/W13-1909
Recognizing Sublanguages in Scientific Journal Articles through Closure Properties
It has long been realized that sublanguages are relevant to natural language processing and text mining. However, practical methods for recognizing or characterizing them have been lacking. This paper describes a publicly available set of tools for sublanguage recognition. Closure properties are used to assess the good...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
Irina Temnikova's work on the research reported in this paper was supported by the project AComIn "Advanced Computing for Innovation", grant 316087, funded by the FP7 Capacity Programme (Research Potential of Convergence Re-gions). Kevin Bretonnel Cohen's work was supported by grants NIH 5R01 LM009254-07 and NIH 5R01 L...
2013
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
krishnamurthy-mitchell-2012-weakly
https://aclanthology.org/D12-1069
Weakly Supervised Training of Semantic Parsers
We present a method for training a semantic parser using only a knowledge base and an unlabeled text corpus, without any individually annotated sentences. Our key observation is that multiple forms of weak supervision can be combined to train an accurate semantic parser: semantic supervision from a knowledge base, and ...
false
[]
[]
null
null
null
This research has been supported in part by DARPA under contract number FA8750-09-C-0179, and by a grant from Google. Additionally, we thank Yahoo! for use of their M45 cluster. We also gratefully acknowledge the contributions of our colleagues on the NELL project, Justin Betteridge for collecting the Freebase relation...
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
benotti-blackburn-2021-recipe
https://aclanthology.org/2021.naacl-main.320
A recipe for annotating grounded clarifications
In order to interpret the communicative intents of an utterance, it needs to be grounded in something that is outside of language; that is, grounded in world modalities. In this paper we argue that dialogue clarification mechanisms make explicit the process of interpreting the communicative intents of the speaker's utt...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their detailed reviews and insightful comments.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-etal-2022-discrete
https://aclanthology.org/2022.acl-long.145
Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis
Dependency trees have been intensively used with graph neural networks for aspect-based sentiment classification. Though being effective, such methods rely on external dependency parsers, which can be unavailable for low-resource languages or perform worse in low-resource domains. In addition, dependency trees are also...
false
[]
[]
null
null
null
Zhiyang Teng and Yue Zhang are the corresponding authors. Our thanks to anonymous reviewers for their insightful comments and suggestions. We appreciate Prof. Pengyuan Liu sharing the Chinese Hotel dataset, Prof. Jingjing Wang sharing the reinforcement learning code of Wang et al. 2019 Wu et al. (2020) upon our request...
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
espla-gomis-etal-2016-ualacant
https://aclanthology.org/W16-2383
UAlacant word-level and phrase-level machine translation quality estimation systems at WMT 2016
This paper describes the Universitat d'Alacant submissions (labeled as UAlacant) to the machine translation quality estimation (MTQE) shared task at WMT 2016, where we have participated in the word-level and phrase-level MTQE subtasks. Our systems use external sources of bilingual information as a black box to spot sub...
false
[]
[]
null
null
null
Work partially funded by the European Commission through project PIAP-GA-2012-324414 (Abu-MaTran) and by the Spanish government through project TIN2015-69632-R (Effortune). We specially thank Reverso-Softissimo and Prompsit Language Engineering for providing the access to the Reverso Context concordancer, the Universit...
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ceska-fox-2009-influence
https://aclanthology.org/R09-1011
The Influence of Text Pre-processing on Plagiarism Detection
This paper explores the influence of text preprocessing techniques on plagiarism detection. We examine stop-word removal, lemmatization, number replacement, synonymy recognition, and word generalization. We also look into the influence of punctuation and word-order within N-grams. All these techniques are evaluated acc...
true
[]
[]
Industry, Innovation and Infrastructure
Peace, Justice and Strong Institutions
null
This research was supported in part by National Research Programme II, project 2C06009 (COT-SEWing). Special thanks go to Michal Toman who helped us to employ the disambiguation process.
2009
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
true
false
lefrancois-gandon-2013-reasoning
https://aclanthology.org/W13-3719
Reasoning with Dependency Structures and Lexicographic Definitions Using Unit Graphs
We are interested in a graph-based Knowledge Representation (KR) formalism that would allow for the representation, manipulation, query, and reasoning over dependency structures, and linguistic knowledge of the lexicon in the Meaning-Text Theory framework. Neither the semantic web formalisms nor the conceptual graphs a...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gali-etal-2008-aggregating
https://aclanthology.org/I08-5005
Aggregating Machine Learning and Rule Based Heuristics for Named Entity Recognition
This paper, submitted as an entry for the NERSSEAL-2008 shared task, describes a system build for Named Entity Recognition for South and South East Asian Languages. Our paper combines machine learning techniques with language specific heuristics to model the problem of NER for Indian languages. The system has been test...
false
[]
[]
null
null
null
We would like to thank the organizer Mr. Anil Kumar Singh deeply for his continuous support during the shared task.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
osborne-2013-distribution
https://aclanthology.org/W13-3730
The Distribution of Floating Quantifiers: A Dependency Grammar Analysis
This contribution provides a dependency grammar analysis of the distribution of floating quantifiers in English and German. Floating quantifiers are deemed to be "base generated", meaning that they are not moved into their surface position by a transformation. Their distribution is similar to that of modal adverbs. The...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hossain-etal-2021-nlp-cuet
https://aclanthology.org/2021.ltedi-1.25
NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner
In recent years, several systems have been developed to regulate the spread of negativity and eliminate aggressive, offensive or abusive contents from the online platforms. Nevertheless, a limited number of researches carried out to identify positive, encouraging and supportive contents. In this work, our goal is to id...
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
morales-etal-2007-multivariate
https://aclanthology.org/W07-2421
Multivariate Cepstral Feature Compensation on Band-limited Data for Robust Speech Recognition
This paper describes a new method for compensating bandwidth mismatch for automatic speech recognition using multivariate linear combinations of feature vector components. It is shown that multivariate compensation is superior to methods based on linear compensations of individual features. Performance is evaluated on ...
false
[]
[]
null
null
null
This research is supported in part by an MCyT project (TIC 2006-13141-C03).
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jansche-2003-parametric
https://aclanthology.org/P03-1037
Parametric Models of Linguistic Count Data
It is well known that occurrence counts of words in documents are often modeled poorly by standard distributions like the binomial or Poisson. Observed counts vary more than simple models predict, prompting the use of overdispersed models like Gamma-Poisson or Beta-binomial mixtures as robust alternatives. Another defi...
false
[]
[]
null
null
null
Thanks to Chris Brew and three anonymous reviewers for valuable feedback. Cue the usual disclaimers.
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
collier-etal-1998-refining
https://aclanthology.org/W98-1109
Refining the Automatic Identification of Conceptual Relations in Large-scale Corpora
In the ACRONYM Project, we have taken the Firthian view (e.g. Firth 1957) that context is part of the meaning of the word, and measured similarity of meaning between words through second-order collocation. Using large-scale, free text corpora of UK journalism, we have generated collocational data for all words except f...
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bjerva-augenstein-2018-phonology
https://aclanthology.org/N18-1083
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings
A core part of linguistic typology is the classification of languages according to linguistic properties, such as those detailed in the World Atlas of Language Structure (WALS). Doing this manually is prohibitively time-consuming, which is in part evidenced by the fact that only 100 out of over 7,000 languages spoken i...
false
[]
[]
null
null
null
We would also like to thank RobertÖstling for giving us access to the pre-trained language embeddings. Isabelle Augenstein is supported by Eurostars grant Number E10138. We further gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
godard-etal-2018-adaptor
https://aclanthology.org/W18-5804
Adaptor Grammars for the Linguist: Word Segmentation Experiments for Very Low-Resource Languages
Computational Language Documentation attempts to make the most recent research in speech and language technologies available to linguists working on language preservation and documentation. In this paper, we pursue two main goals along these lines. The first is to improve upon a strong baseline for the unsupervised wor...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their insightful comments. We also thank Ramy Eskander for his help in the early stages of this research. This work was partly funded by French ANR and German DFG under grant ANR-14-CE35-0002 (BULB project).
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
king-2008-osu
https://aclanthology.org/W08-1137
OSU-GP: Attribute Selection Using Genetic Programming
This system's approach to the attribute selection task was to use a genetic programming algorithm to search for a solution to the task. The evolved programs for the furniture and people domain exhibit quite naive behavior, and the DICE and MASI scores on the training sets reflect the poor humanlikeness of the programs.
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
herbelot-2020-solve
https://aclanthology.org/2020.conll-1.27
Re-solve it: simulating the acquisition of core semantic competences from small data
Many tasks are considered to be 'solved' in the computational linguistics literature, but the corresponding algorithms operate in ways which are radically different from human cognition. I illustrate this by coming back to the notion of semantic competence, which includes basic linguistic skills encompassing both refer...
false
[]
[]
null
null
null
I thank Ann Copestake and Katrin Erk for reading an early draft of this paper, as well as the participants to the GeCKo workshop in Barcelona for their helpful comments. I would also like to thank the anonymous reviewers for their helpful suggestions and comments. Finally, I gratefully acknowledge the support of NVIDIA...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
agirre-martinez-2000-exploring
https://aclanthology.org/W00-1702
Exploring Automatic Word Sense Disambiguation with Decision Lists and the Web
The most effective paradigm for word sense disambiguation, supervised learning, seems to be stuck because of the knowledge acquisition bottleneck. In this paper we take an in-depth study of the performance of decision lists on two publicly available corpora and an additional corpus automatically acquired from the Web, ...
false
[]
[]
null
null
null
The work here presented received funds from projects OF319-99 (Government of Gipuzkoa), EX1998-30 (Basque Country Government) and 2FD1997-1503 (European Commission).
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
reynaert-2014-ticclops
https://aclanthology.org/C14-2012
TICCLops: Text-Induced Corpus Clean-up as online processing system
We present the 'online processing system' version of Text-Induced Corpus Clean-up, a web service and application open for use to researchers. The system has over the past years been developed to provide mainly OCR error post-correction, but can just as fruitfully be employed to automatically correct texts for spelling ...
false
[]
[]
null
null
null
The author, Martin Reynaert, and TiCC senior scientific programmer Ko van der Sloot gratefully acknowledge support from CLARIN-NL in projects @PhilosTEI (CLARIN-NL-12-006) and OpenSoNaR (CLARIN-NL-12-013). The author further acknowledges support from NWO in project Nederlab.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
malmaud-etal-2015-whats
https://aclanthology.org/N15-1015
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision
We present a novel method for aligning a sequence of instructions to a video of someone carrying out a task. In particular, we focus on the cooking domain, where the instructions correspond to the recipe. Our technique relies on an HMM to align the recipe steps to the (automatically generated) speech transcript. We the...
false
[]
[]
null
null
null
Acknowledgments. We would like to thank Alex Gorban and Anoop Korattikara for helping with some of the experiments, and Nancy Chang for feedback on the paper.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kubler-2008-page
https://aclanthology.org/W08-1008
The PaGe 2008 Shared Task on Parsing German
The ACL 2008 Workshop on Parsing German features a shared task on parsing German. The goal of the shared task was to find reasons for the radically different behavior of parsers on the different treebanks and between constituent and dependency representations. In this paper, we describe the task and the data sets. In a...
false
[]
[]
null
null
null
First and foremost, we want to thank all the people and organizations that generously provided us with treebank data and without whom the shared task would have been literally impossible: Erhard Hinrichs, University of Tübingen (TüBa-D/Z), and Hans Uszkoreit, Saarland University and DFKI (TIGER).Secondly, we would like...
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aksu-etal-2022-n
https://aclanthology.org/2022.findings-acl.131
N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking
Augmentation of task-oriented dialogues has followed standard methods used for plain-text such as back-translation, word-level manipulation, and paraphrasing despite its richly annotated structure. In this work, we introduce an augmentation framework that utilizes belief state annotations to match turns from various di...
false
[]
[]
null
null
null
This research was supported by the SINGA scholarship from A*STAR and by the National Research Foundation, Prime Minister's Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. We would like to thank anonymous reviewers for their insightful feedback on how to improv...
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
radford-etal-2018-adult
https://aclanthology.org/W18-0614
Can adult mental health be predicted by childhood future-self narratives? Insights from the CLPsych 2018 Shared Task
The CLPsych 2018 Shared Task B explores how childhood essays can predict psychological distress throughout the author's life. Our main aim was to build tools to help our psychologists understand the data, propose features and interpret predictions. We submitted two linear regression models: MODELA uses simple demograph...
true
[]
[]
Good Health and Well-Being
null
null
This study was approved by the University of New South Wales Human Research Ethics Advisory Panel (ref. HC180171). We thank the CLPsych reviewers for their thoughtful comments. KMK is funded by the Australian National Health and Medical Research Council (NHMRC) fellowship #1088313. KR is supported by the ARC-NHMRC Deme...
2018
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chandrasekaran-etal-2018-punny
https://aclanthology.org/N18-2121
Punny Captions: Witty Wordplay in Image Descriptions
Wit is a form of rich interaction that is often grounded in a specific situation (e.g., a comment in response to an event). In this work, we attempt to build computational models that can produce witty descriptions for a given image. Inspired by a cognitive account of humor appreciation, we employ linguistic wordplay, ...
false
[]
[]
null
null
null
We thank Shubham Toshniwal for his advice regarding the automatic speech recognition model. This work was supported in part by: a NSF CAREER award, ONR YIP award, ONR Grant N00014-14-12713, PGA Family Foundation award, Google FRA, Amazon ARA, DARPA XAI grant to DP and NVIDIA GPU donations, Google FRA, IBM Faculty Award...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rothe-etal-2021-simple
https://aclanthology.org/2021.acl-short.89
A Simple Recipe for Multilingual Grammatical Error Correction
This paper presents a simple recipe to train state-of-the-art multilingual Grammatical Error Correction (GEC) models. We achieve this by first proposing a language-agnostic method to generate a large number of synthetic examples. The second ingredient is to use largescale multilingual language models (up to 11B paramet...
false
[]
[]
null
null
null
We would like to thank Costanza Conforti, Shankar Kumar, Felix Stahlberg and Samer Hassan for useful discussions as well as their help with training and evaluating the models.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
singh-etal-2020-newssweeper
https://aclanthology.org/2020.semeval-1.231
newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations for Propaganda Classification
This paper describes our submissions to SemEval 2020 Task 11: Detection of Propaganda Techniques in News Articles for each of the two subtasks of Span Identification and Technique Classification. We make use of pre-trained BERT language model enhanced with tagging techniques developed for the task of Named Entity Recog...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
aramaki-etal-2007-uth
https://aclanthology.org/S07-1103
UTH: SVM-based Semantic Relation Classification using Physical Sizes
Although researchers have shown increasing interest in extracting/classifying semantic relations, most previous studies have basically relied on lexical patterns between terms. This paper proposes a novel way to accomplish the task: a system that captures a physical size of an entity. Experimental results revealed that...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kacmarcik-etal-2000-robust
https://aclanthology.org/C00-1057
Robust Segmentation of Japanese Text into a Lattice for Parsing
We describe a segmentation component that utilizes minimal syntactic knowledge to produce a lattice of word candidates for a broad coverage Japanese NL parser. The segmenter is a finite state morphological analyzer and text normalizer designed to handle the orthographic variations characteristic of written Japanese, in...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rodriguez-penagos-2004-metalinguistic
https://aclanthology.org/W04-1802
Metalinguistic Information Extraction for Terminology
This paper d escribes and evaluates the Metalinguistic Operation Processor (MOP) system for automatic compilation of metalinguistic information from technical and scientific documents. This system is designed to extract non-standard terminological resources that we have called Metalinguistic Information Databases (or M...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2022-miner
https://aclanthology.org/2022.acl-long.383
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
NER model has achieved promising performance on standard NER benchmarks. However, recent studies show that previous approaches may over-rely on entity mention information, resulting in poor performance on out-of-vocabulary (OOV) entity recognition. In this work, we propose MINER, a novel NER learning framework, to reme...
false
[]
[]
null
null
null
The authors would like to thank the anonymous reviewers for their helpful comments, Ting Wu and Yiding Tan for their early contribution. This work was partially funded by China National Key RD Program (No. 2018YFB1005104), National Natural Science Foundation of China (No. 62076069, 61976056). This research was sponsore...
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
moore-2004-improving
https://aclanthology.org/P04-1066
Improving IBM Word Alignment Model 1
We investigate a number of simple methods for improving the word-alignment accuracy of IBM Model 1. We demonstrate reduction in alignment error rate of approximately 30% resulting from (1) giving extra weight to the probability of alignment to the null word, (2) smoothing probability estimates for rare words, and (3) u...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
muaz-etal-2009-analysis
https://aclanthology.org/W09-3404
Analysis and Development of Urdu POS Tagged Corpus
In this paper, two corpora of Urdu (with 110K and 120K words) tagged with different POS tagsets are used to train TnT and Tree taggers. Error analysis of both taggers is done to identify frequent confusions in tagging. Based on the analysis of tagging, and syntactic structure of Urdu, a more refined tagset is derived. ...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lewis-2014-getting
https://aclanthology.org/2014.tc-1.15
Getting the best out of a mixed bag
This paper discusses the development and implementation of an approach to the combination of Rule Based Machine Translation, Statistical Machine Translation and Translation Memory tecnologies. The machine translation system itself draws upon translation memories and both syntactically and statistically generated phrase...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
knoth-etal-2011-using
https://aclanthology.org/W11-3602
Using Explicit Semantic Analysis for Cross-Lingual Link Discovery
This paper explores how to automatically generate cross-language links between resources in large document collections. The paper presents new methods for Cross-Lingual Link Discovery (CLLD) based on Explicit Semantic Analysis (ESA). The methods are applicable to any multilingual document collection. In this report, we...
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sil-yates-2011-extracting
https://aclanthology.org/R11-1001
Extracting STRIPS Representations of Actions and Events
Knowledge about how the world changes over time is a vital component of commonsense knowledge for Artificial Intelligence (AI) and natural language understanding. Actions and events are fundamental components to any knowledge about changes in the state of the world: the states before and after an event differ in regula...
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dinkar-etal-2020-importance
https://aclanthology.org/2020.emnlp-main.641
The importance of fillers for text representations of speech transcripts
While being an essential component of spoken language, fillers (e.g. "um" or "uh") often remain overlooked in Spoken Language Understanding (SLU) tasks. We explore the possibility of representing them with deep contextualised embeddings, showing improvements on modelling spoken language and two downstream tasks-predict...
false
[]
[]
null
null
null
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 765955 and the French National Research Agency's grant ANR-17-MAOI.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jing-etal-2019-show
https://aclanthology.org/P19-1657
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports
Chest X-Ray (CXR) images are commonly used for clinical screening and diagnosis. Automatically writing reports for these images can considerably lighten the workload of radiologists for summarizing descriptive findings and conclusive impressions. The complex structures between and within sections of the reports pose a ...
true
[]
[]
Good Health and Well-Being
null
null
null
2019
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
imperial-ong-2021-microscope
https://aclanthology.org/2021.paclic-1.1
Under the Microscope: Interpreting Readability Assessment Models for Filipino
Readability assessment is the process of identifying the level of ease or difficulty of a certain piece of text for its intended audience. Approaches have evolved from the use of arithmetic formulas to more complex pattern-recognizing models trained using machine learning algorithms. While using these approaches provid...
false
[]
[]
null
null
null
Acknowledgment The authors would like to thank the anonymous reviewers for their valuable feedback and to Dr. Ani Almario of Adarna House for allowing us to use their children's book dataset for this study. This work is also supported by the DOST National Research Council of the Philippines (NRCP).
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rutherford-thanyawong-2019-written
https://aclanthology.org/W19-4710
Written on Leaves or in Stones?: Computational Evidence for the Era of Authorship of Old Thai Prose
We aim to provide computational evidence for the era of authorship of two important old Thai texts: Traiphumikatha and Pumratchatham. The era of authorship of these two books is still an ongoing debate among Thai literature scholars. Analysis of old Thai texts present a challenge for standard natural language processin...
false
[]
[]
null
null
null
This research is funded by Grants for Development of New Faculty Staff at Chulalongkorn University.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
garrido-alenda-etal-2002-incremental
https://aclanthology.org/2002.tmi-papers.7
Incremental construction and maintenance of morphological analysers based on augmented letter transducers
We define deterministic augmented letter transducers (DALTs), a class of finitestate transducers which provide an efficient way of implementing morphological analysers which tokenize their input (i.e., divide texts in tokens or words) as they analyse it, and show how these morphological analysers may be maintained (i.e...
false
[]
[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hamon-etal-1998-step
https://aclanthology.org/C98-1079
A step towards the detection of semantic variants of terms in technical documents
This paper reports the results of a preliminary experiment on the detection of semantic variants of terms in a French technical document. The general goal of our work is to help the structuration of terminologies. Two kinds of semantic variants can be found in traditional terminologies : strict synonymy links and fuzzi...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
This work is the result of a collaboration with the Direction des Etudes et Recherche (DER) d'Electricit6 de France (EDF). We thank Marie-Luce Picard from EDF and Beno[t Habert from ENS Fontenay-St Cloud for their help, Didier Bourigault and Jean-Yves Hamon from the Institut de la Langue FranQaise (INaLF) for the dicti...
1998
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false