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effenberger-etal-2021-analysis-language
https://aclanthology.org/2021.findings-emnlp.239
Analysis of Language Change in Collaborative Instruction Following
We analyze language change over time in a collaborative, goal-oriented instructional task, where utility-maximizing participants form conventions and increase their expertise. Prior work studied such scenarios mostly in the context of reference games, and consistently found that language complexity is reduced along mul...
false
[]
[]
null
null
null
This research was supported by NSF under grants No. 1750499, 1750499-REU, and DGE-1650441. It also received support from a Google Focused Award, the Break Through Tech summer internship program, and a Facebook PhD Fellowship. We thank Chris Potts and Robert Hawkins for early discussions that initiated this analysis; an...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bird-2022-local
https://aclanthology.org/2022.acl-long.539
Local Languages, Third Spaces, and other High-Resource Scenarios
How can language technology address the diverse situations of the world's languages? In one view, languages exist on a resource continuum and the challenge is to scale existing solutions, bringing under-resourced languages into the high-resource world. In another view, presented here, the world's language ecology inclu...
false
[]
[]
null
null
null
null
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mehdad-etal-2010-towards
https://aclanthology.org/N10-1045
Towards Cross-Lingual Textual Entailment
This paper investigates cross-lingual textual entailment as a semantic relation between two text portions in different languages, and proposes a prospective research direction. We argue that cross-lingual textual entailment (CLTE) can be a core technology for several cross-lingual NLP applications and tasks. Through pr...
false
[]
[]
null
null
null
This work has been partially supported by the ECfunded project CoSyne (FP7-ICT-4-24853)
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
he-etal-2020-syntactic
https://aclanthology.org/2020.coling-main.246
Syntactic Graph Convolutional Network for Spoken Language Understanding
Slot filling and intent detection are two major tasks for spoken language understanding. In most existing work, these two tasks are built as joint models with multi-task learning with no consideration of prior linguistic knowledge. In this paper, we propose a novel joint model that applies a graph convolutional network...
false
[]
[]
null
null
null
The work was done when the first author was an intern at Meituan Dialogue Group. We thank Xiaojie Wang, Jiangnan Xia and Hengtong Lu for the discussion. We thank all anonymous reviewers for their constructive feedback.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nigmatulina-etal-2020-asr
https://aclanthology.org/2020.vardial-1.2
ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German
Strong regional variation, together with the lack of standard orthography, makes Swiss German automatic speech recognition (ASR) particularly difficult in a multi-dialectal setting. This paper focuses on one of the many challenges, namely, the choice of the output text to represent non-standardised Swiss German. We inv...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yin-etal-2016-neural-generative
https://aclanthology.org/W16-0106
Neural Generative Question Answering
This paper presents an end-to-end neural network model, named Neural Generative Question Answering (GENQA), that can generate answers to simple factoid questions, based on the facts in a knowledge-base. More specifically, the model is built on the encoderdecoder framework for sequence-to-sequence learning, while equipp...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
stahlberg-etal-2016-edit
https://aclanthology.org/W16-2324
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16
This paper presents the University of Cambridge submission to WMT16. Motivated by the complementary nature of syntactical machine translation and neural machine translation (NMT), we exploit the synergies of Hiero and NMT in different combination schemes. Starting out with a simple neural lattice rescoring approach, we...
false
[]
[]
null
null
null
This work was supported by the U.K. Engineering and Physical Sciences Research Council (EPSRC grant EP/L027623/1).
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
applegate-1960-syntax
https://aclanthology.org/1960.earlymt-nsmt.33
Syntax of the German Noun Phrase
It is generally agreed that a successful mechanical translation routine must be based on an accurate grammatical description of both the source and target languages. Furthermore, the description should be presented in a form that can easily be adapted for computer programming.
false
[]
[]
null
null
null
null
1960
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gautam-bhattacharyya-2014-layered
https://aclanthology.org/W14-3350
LAYERED: Metric for Machine Translation Evaluation
This paper describes the LAYERED metric which is used for the shared WMT'14 metrics task. Various metrics exist for MT evaluation: BLEU (Papineni, 2002), METEOR (Alon Lavie, 2007), TER (Snover, 2006) etc., but are found inadequate in quite a few language settings like, for example, in case of free word order languages....
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
arase-etal-2020-annotation
https://aclanthology.org/2020.lrec-1.836
Annotation of Adverse Drug Reactions in Patients' Weblogs
Adverse drug reactions are a severe problem that significantly degrade quality of life, or even threaten the life of patients. Patientgenerated texts available on the web have been gaining attention as a promising source of information in this regard. While previous studies annotated such patient-generated content, the...
true
[]
[]
Good Health and Well-Being
null
null
We thank Kazuki Ashihara for his contribution to annotation as well as valuable discussions with us. This work was supported by JST AIP-PRISM Grant Number JP-MJCR18Y1, Japan.
2020
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kopotev-etal-2013-automatic
https://aclanthology.org/W13-1011
Automatic Detection of Stable Grammatical Features in N-Grams
This paper presents an algorithm that allows the user to issue a query pattern, collects multi-word expressions (MWEs) that match the pattern, and then ranks them in a uniform fashion. This is achieved by quantifying the strength of all possible relations between the tokens and their features in the MWEs. The algorithm...
false
[]
[]
null
null
null
We are very grateful to the Russian National Corpus developers, especially E. Rakhilina and O. Lyashevskaya, for providing us with the data.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
elsner-charniak-2008-coreference
https://aclanthology.org/P08-2011
Coreference-inspired Coherence Modeling
Research on coreference resolution and summarization has modeled the way entities are realized as concrete phrases in discourse. In particular there exist models of the noun phrase syntax used for discourse-new versus discourse-old referents, and models describing the likely distance between a pronoun and its anteceden...
false
[]
[]
null
null
null
Chen and Barzilay, reviewers, DARPA, et al.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gahl-1998-automatic
https://aclanthology.org/C98-1068
Automatic extraction of subcorpora based on subcategorization frames from a part-of-speech tagged corpus
This paper presents a method for extracting sub.cor.pora documenting different subcategorlzatlon frames for verbs, nouns, and adjectives in the 100 mio. word British National Corpus. The extraction tool consists of a set of batch files for use with the Corpus Query Processor (CQP), which is part of the IMS corpus workb...
false
[]
[]
null
null
null
This work grew out of an extremely enjoyable collaborative effort with Dr. Ulrich Heid of IMS Stuttgart and Dan Jurafsky of the University of Boulder, Colorado. I would like to thank Doug Roland and especially the untiring Collin Baker for their work on the macroprocessor. I would also like to thank the members of the ...
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
budin-etal-1999-integrating
https://aclanthology.org/1999.tc-1.15
Integrating Translation Technologies Using SALT
The acronym SALT stands for Standards-based Access to multilingual Lexicons and Terminologies. The objective of the SALT project is to develop and promote a range of tools that will be made available on the World Wide Web to various user groups, in particular translators, terminology managers, localizers, technical com...
false
[]
[]
null
null
null
null
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-etal-2020-mpdd
https://aclanthology.org/2020.lrec-1.76
MPDD: A Multi-Party Dialogue Dataset for Analysis of Emotions and Interpersonal Relationships
A dialogue dataset is an indispensable resource for building a dialogue system. Additional information like emotions and interpersonal relationships labeled on conversations enables the system to capture the emotion flow of the participants in the dialogue. However, there is no publicly available Chinese dialogue datas...
false
[]
[]
null
null
null
This research was partially supported by the Ministry of Science and Technology, Taiwan, under grants MOST-106-2923-E-002-012-MY3, MOST-108-2634-F-002-008-, MOST-108-2218-E-009-051-, and MOST-109-2634-F-002-034 and by Academia Sinica, Taiwan, under grant AS-TP-107-M05.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jelinek-lafferty-1991-computation
https://aclanthology.org/J91-3004
Computation of the Probability of Initial Substring Generation by Stochastic Context-Free Grammars
Speech recognition language models are based on probabilities P(Wk+I = v [ WlW2~..., Wk) that the next word Wk+l will be any particular word v of the vocabulary, given that the word sequence Wl, w2,..., Wk is hypothesized to have been uttered in the past. If probabilistic context-free grammars are to be used as the bas...
false
[]
[]
null
null
null
null
1991
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mihalcea-tarau-2004-textrank
https://aclanthology.org/W04-3252
TextRank: Bringing Order into Text
In this paper, we introduce TextRank-a graph-based ranking model for text processing, and show how this model can be successfully used in natural language applications. In particular, we propose two innovative unsupervised methods for keyword and sentence extraction, and show that the results obtained compare favorably...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
white-1993-delimitedness
https://aclanthology.org/E93-1048
Delimitedness and Trajectory-of-Motion Events
The first part of the paper develops a novel, sortally-based approach to the problem of aspectual composition. The account is argued to be superior on both empirical and computational grounds to previous semantic approaches relying on referential homogeneity tests. While the account is restricted to manner-of-motion ve...
false
[]
[]
null
null
null
null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
perkoff-etal-2021-orthographic
https://aclanthology.org/2021.sigmorphon-1.10
Orthographic vs. Semantic Representations for Unsupervised Morphological Paradigm Clustering
This paper presents two different systems for unsupervised clustering of morphological paradigms, in the context of the SIGMOR-PHON 2021 Shared Task 2. The goal of this task is to correctly cluster words in a given language by their inflectional paradigm, without any previous knowledge of the language and without super...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chandran-nair-etal-2021-enough
https://aclanthology.org/2021.dravidianlangtech-1.13
Is this Enough?-Evaluation of Malayalam Wordnet
The quality of a product is the degree to which a product meets the Customer's expectations, which must also be valid in the case of lexical-semantic resources. Conducting a periodic evaluation of resources is essential to ensure that they meet a native speaker's expectations and are free from errors. This paper define...
false
[]
[]
null
null
null
We are not taking these values as the final deciding factor. We will be using this low score synsets as a candidate set for our crowdsourcing application. This application will have different tasks like define gloss, provide Synset, validate the gloss, and so on.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bamman-etal-2020-annotated
https://aclanthology.org/2020.lrec-1.6
An Annotated Dataset of Coreference in English Literature
We present in this work a new dataset of coreference annotations for works of literature in English, covering 29,103 mentions in 210,532 tokens from 100 works of fiction. This dataset differs from previous coreference datasets in containing documents whose average length (2,105.3 words) is four times longer than other ...
false
[]
[]
null
null
null
The research reported in this article was supported by an Amazon Research Award and by resources provided by NVIDIA and Berkeley Research Computing.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wu-dredze-2020-explicit
https://aclanthology.org/2020.emnlp-main.362
Do Explicit Alignments Robustly Improve Multilingual Encoders?
Multilingual BERT (Devlin et al., 2019, mBERT), XLM-RoBERTa (Conneau et al., 2019, XLMR) and other unsupervised multilingual encoders can effectively learn crosslingual representation. Explicit alignment objectives based on bitexts like Europarl or Mul-tiUN have been shown to further improve these representations. Howe...
false
[]
[]
null
null
null
This research is supported in part by ODNI, IARPA, via the BETTER Program contract #2019-
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
qian-etal-2021-lifelong
https://aclanthology.org/2021.naacl-main.183
Lifelong Learning of Hate Speech Classification on Social Media
Existing work on automated hate speech classification assumes that the dataset is fixed and the classes are pre-defined. However, the amount of data in social media increases every day, and the hot topics changes rapidly, requiring the classifiers to be able to continuously adapt to new data without forgetting the prev...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
yuan-bryant-2021-document
https://aclanthology.org/2021.bea-1.8
Document-level grammatical error correction
Document-level context can provide valuable information in grammatical error correction (GEC), which is crucial for correcting certain errors and resolving inconsistencies. In this paper, we investigate context-aware approaches and propose document-level GEC systems. Additionally, we employ a three-step training strate...
false
[]
[]
null
null
null
We would like to thank Cambridge Assessment for supporting this research, and the anonymous re-
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lascarides-oberlander-1993-temporal
https://aclanthology.org/E93-1031
Temporal Connectives in a Discourse Context
We examine the role of temporal connectives in multi-sentence discourse. In certain contexts, sentences containing temporal connectives that are equivalent in temporai structure can fail to be equivalent in terms of discourse coherence. We account for this by offering a novel, formal mechanism for accommodating the pre...
false
[]
[]
null
null
null
null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
benton-etal-2019-deep
https://aclanthology.org/W19-4301
Deep Generalized Canonical Correlation Analysis
We present Deep Generalized Canonical Correlation Analysis (DGCCA)-a method for learning nonlinear transformations of arbitrarily many views of data, such that the resulting transformations are maximally informative of each other. While methods for nonlinear twoview representation learning (Deep CCA, (Andrew et al., 20...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
forbes-webber-2002-semantic
https://aclanthology.org/W02-0204
A Semantic Account of Adverbials as Discourse Connectives
null
false
[]
[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
seker-etal-2018-universal
https://aclanthology.org/K18-2021
Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task
We present the contribution of the ONLP lab at the Open University of Israel to the CONLL 2018 UD SHARED TASK on MULTILINGUAL PARSING FROM RAW TEXT TO UNIVERSAL DEPENDENCIES. Our contribution is based on a transitionbased parser called yap: yet another parser which includes a standalone morphological model, a standalon...
false
[]
[]
null
null
null
We thank the CoNLL Shared Task Organizing Committee for their hard work and their timely support. We also thank the TIRA platform team (Potthast et al., 2014) for providing a system that facilitates competition and reproducible research. The research towards this shared task submission has been supported by the Europea...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aberdeen-etal-2001-finding
https://aclanthology.org/H01-1028
Finding Errors Automatically in Semantically Tagged Dialogues
We describe a novel method for detecting errors in task-based human-computer (HC) dialogues by automatically deriving them from semantic tags. We examined 27 HC dialogues from the DARPA Communicator air travel domain, comparing user inputs to system responses to look for slot value discrepancies, both automatically and...
false
[]
[]
null
null
null
null
2001
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vazquez-etal-2020-systematic
https://aclanthology.org/2020.cl-2.5
A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation
Neural machine translation has considerably improved the quality of automatic translations by learning good representations of input sentences. In this article, we explore a multilingual translation model capable of producing fixed-size sentence representations by incorporating an intermediate crosslingual shared layer...
false
[]
[]
null
null
null
This work is part of the FoTran project, funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no 771113). The authors gratefully acknowledge the support of the Academy of Finland through project 314062 from the ICT 2023 call on Computat...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nirenburg-etal-1986-knowledge
https://aclanthology.org/C86-1148
On Knowledge-Based Machine Translation
This paper describes the design of tile knowledge representation medium used for representing concepts and assertions, respectively, in a subworld chosen for a knowledge-based machine u'anslation system. This design is used in the TRANSLATOR machine translation project. The kuowledge representation language, or interli...
false
[]
[]
null
null
null
Acknowledgement. The authors wish to thank Irene Nirenburg for reading, discussing and criticizing the numerous successive versions of the manuscript. Needless to say, it's we who are to blame for the remaining errors.
1986
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aarts-1995-acyclic
https://aclanthology.org/1995.iwpt-1.2
Acyclic Context-sensitive Grammars
A grammar formalism is introduced that generates parse trees with crossing branches. The uniform recognition problem is NP-complete, but for any fixed grammar the recognition problem is polynomial.
false
[]
[]
null
null
null
null
1995
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-etal-2015-binarized
https://aclanthology.org/D15-1250
A Binarized Neural Network Joint Model for Machine Translation
The neural network joint model (NNJM), which augments the neural network language model (NNLM) with an m-word source context window, has achieved large gains in machine translation accuracy, but also has problems with high normalization cost when using large vocabularies. Training the NNJM with noise-contrastive estima...
false
[]
[]
null
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mariani-etal-2016-study
https://aclanthology.org/W16-1509
A Study of Reuse and Plagiarism in Speech and Natural Language Processing papers
The aim of this experiment is to present an easy way to compare fragments of texts in order to detect (supposed) results of copy & paste operations between articles in the domain of Natural Language Processing, including Speech Processing (NLP). The search space of the comparisons is a corpus labelled as NLP4NLP, which...
true
[]
[]
Industry, Innovation and Infrastructure
Peace, Justice and Strong Institutions
null
null
2016
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
true
false
cunningham-etal-1997-gate
https://aclanthology.org/A97-2017
GATE - a General Architecture for Text Engineering
yorick@dcs, shef. ac. uk For a variety of reasons NLP has recently spawned a related engineering discipline called language engineering (LE), whose orientation is towards the application of NLP techniques to solving large-scale, real-world language processing problems in a robust and predictable way. Aside from the hos...
false
[]
[]
null
null
null
null
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ahmed-nurnberger-2008-arabic
https://aclanthology.org/2008.eamt-1.3
Arabic/English word translation disambiguation using parallel corpora and matching schemes
The limited coverage of available Arabic language lexicons causes a serious challenge in Arabic cross language information retrieval. Translation in cross language information retrieval consists of assigning one of the semantic representation terms in the target language to the intended query. Despite the problem of th...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gorz-paulus-1988-finite
https://aclanthology.org/C88-1043
A Finite State Approach to German Verb Morphology
This paper presents a new, language independent model for analysis and generation of word forms based on Finite State Transducers (FSTs). It has been completely implemented on a PC and successfully tested with lexicons and rules covering all of German verb morphology and the most interesting subsets of French and Spani...
false
[]
[]
null
null
null
null
1988
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lamont-2018-decomposing
https://aclanthology.org/W18-0310
Decomposing phonological transformations in serial derivations
While most phonological transformations have been shown to be subsequential, there are tonal processes that do not belong to any subregular class, thereby making it difficult to identify a tighter bound on the complexity of phonological processes than the regular languages. This paper argues that a tighter bound obtain...
false
[]
[]
null
null
null
This work has greatly benefited from discussions with Carolyn Anderson, Thomas Graf, Jeff Heinz, Adam Jardine, Gaja Jarosz, John McCarthy, Joe Pater, Brandon Prickett, Kristine Yu, participants in the Phonology Reading Group and Sound Workshop at the University of Massachusetts, Amherst, and the audience at NECPHON 11,...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
traum-etal-2004-evaluation
http://www.lrec-conf.org/proceedings/lrec2004/pdf/768.pdf
Evaluation of Multi-party Virtual Reality Dialogue Interaction
We describe a dialogue evaluation plan for a multi-character virtual reality training simulation. A multi-component evaluation plan is presented, including user satisfaction, intended task completion, recognition rate, and a new annotation scheme for appropriateness. Preliminary results for formative tests are also pre...
false
[]
[]
null
null
null
We would like to thank the many members of the MRE project team for help in this work. First, those who helped build parts of the system. Also Sheryl Kwak, Lori Weiss, Bryan Kramer, Dave Miraglia, Rob Groome, Jon Gratch, and Kate Labore for helping with the data collection, and Captain Roland Miraco and Sergeant Dan Jo...
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
passonneau-etal-2010-learning
https://aclanthology.org/N10-1126
Learning about Voice Search for Spoken Dialogue Systems
In a Wizard-of-Oz experiment with multiple wizard subjects, each wizard viewed automated speech recognition (ASR) results for utterances whose interpretation is critical to task success: requests for books by title from a library database. To avoid non-understandings, the wizard directly queried the application databas...
false
[]
[]
null
null
null
This research was supported by the National Science Foundation under IIS-0745369, IIS-084966, and IIS-0744904. We thank the anonymous reviewers, the Heiskell Library, our CMU collaborators, our statistical wizard Liana Epstein, and our enthusiastic undergraduate research assistants.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aly-etal-2021-fact
https://aclanthology.org/2021.fever-1.1
The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task
The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) shared task, asks participating systems to determine whether human-authored claims are SUPPORTED or REFUTED based on evidence retrieved from Wikipedia (or NOTENOUGHINFO if the claim cannot be verified). Compared to the FEVER 20...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
We would like to thank Amazon for sponsoring the dataset generation and supporting the FEVER workshop and the FEVEROUS shared task. Rami Aly is supported by the Engineering and Physical Sciences Research Council Doctoral Training Partnership (EPSRC). James Thorne is supported by an Amazon Alexa Graduate Research Fellow...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
utiyama-etal-2009-mining
https://aclanthology.org/2009.mtsummit-papers.18
Mining Parallel Texts from Mixed-Language Web Pages
We propose to mine parallel texts from mixedlanguage web pages. We define a mixedlanguage web page as a web page consisting of (at least) two languages. We mined Japanese-English parallel texts from mixedlanguage web pages. We presented the statistics for extracted parallel texts and conducted machine translation exper...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-etal-2021-crafting
https://aclanthology.org/2021.acl-long.153
Crafting Adversarial Examples for Neural Machine Translation
Effective adversary generation for neural machine translation (NMT) is a crucial prerequisite for building robust machine translation systems. In this work, we investigate veritable evaluations of NMT adversarial attacks, and propose a novel method to craft NMT adversarial examples. We first show the current NMT advers...
false
[]
[]
null
null
null
This work is supported by National Natural Science Foundation (62076105) and Microsft Research Asia Collaborative Research Fund (99245180). We thank Xiaosen Wang for helpful suggestions on our work.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
malmasi-etal-2015-oracle
https://aclanthology.org/W15-0620
Oracle and Human Baselines for Native Language Identification
We examine different ensemble methods, including an oracle, to estimate the upper-limit of classification accuracy for Native Language Identification (NLI). The oracle outperforms state-of-the-art systems by over 10% and results indicate that for many misclassified texts the correct class label receives a significant p...
false
[]
[]
null
null
null
We would like to thank the three anonymous reviewers as well as our raters: Martin Chodorow, Carla Parra Escartin, Marte Kvamme, Aasish Pappu, Dragomir Radev, Patti Spinner, Robert Stine, Kapil Thadani, Alissa Vik and Gloria Zen.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-lee-2018-learning
https://aclanthology.org/D18-1451
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
Auto-encoders compress input data into a latent-space representation and reconstruct the original data from the representation. This latent representation is not easily interpreted by humans. In this paper, we propose training an auto-encoder that encodes input text into human-readable sentences, and unpaired abstracti...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2021-conversations
https://aclanthology.org/2021.acl-long.11
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances
Nowadays, open-domain dialogue models can generate acceptable responses according to the historical context based on the large-scale pretrained language models. However, they generally concatenate the dialogue history directly as the model input to predict the response, which we named as the flat pattern and ignores th...
false
[]
[]
null
null
null
We sincerely thank the anonymous reviewers for their thorough reviewing and valuable suggestions. This work is supported by National Key R&D Program of China (NO. 2018AAA0102502).
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tomabechi-1991-quasi
https://aclanthology.org/1991.iwpt-1.19
Quasi-Destructive Graph Unification
Graph unification is the most expensive part of unification-based grammar parsing. It of ten takes over 90% of the total parsing time of a sentence. We focus on two speed-up
false
[]
[]
null
null
null
null
1991
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
avramidis-etal-2020-fine
https://aclanthology.org/2020.wmt-1.38
Fine-grained linguistic evaluation for state-of-the-art Machine Translation
This paper describes a test suite submission providing detailed statistics of linguistic performance for the state-of-the-art German-English systems of the Fifth Conference of Machine Translation (WMT20). The analysis covers 107 phenomena organized in 14 categories based on about 5,500 test items, including a manual an...
false
[]
[]
null
null
null
This research was supported by the German Research Foundation through the project TextQ and by the German Federal Ministry of Education through the project SocialWear.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chakravarthi-etal-2020-corpus
https://aclanthology.org/2020.sltu-1.28
Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text
Understanding the sentiment of a comment from a video or an image is an essential task in many applications. Sentiment analysis of a text can be useful for various decision-making processes. One such application is to analyse the popular sentiments of videos on social media based on viewer comments. However, comments f...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schmid-schulte-im-walde-2000-robust
https://aclanthology.org/C00-2105
Robust German Noun Chunking With a Probabilistic Context-Free Grammar
We present a noun chunker for German which is based on a head-lexicalised probabilistic contextfree grammar. A manually developed grammar was semi-automatically extended with robustness rules in order to allow parsing of unrestricted text. The model parameters were learned from unlabelled training data by a probabilist...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bredenkamp-etal-2000-looking
http://www.lrec-conf.org/proceedings/lrec2000/pdf/299.pdf
Looking for Errors: A Declarative Formalism for Resource-adaptive Language Checking
The paper describes a phenomenon-based approach to grammar checking, which draws on the integration of different shallow NLP technologies, including morphological and POS taggers, as well as probabilistic and rule-based partial parsers. We present a declarative specification formalism for grammar checking and controlle...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
senellart-1999-semi
https://aclanthology.org/1999.eamt-1.5
Semi-automatic acquisition of lexical resources for new languages or new domains
null
false
[]
[]
null
null
null
null
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
el-mekki-etal-2021-domain
https://aclanthology.org/2021.naacl-main.226
Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding
Finetuning deep pre-trained language models has shown state-of-the-art performances on a wide range of Natural Language Processing (NLP) applications. Nevertheless, their generalization performance drops under domain shift. In the case of Arabic language, diglossia makes building and annotating corpora for each dialect...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fujiyoshi-2004-restrictions
https://aclanthology.org/C04-1012
Restrictions on Monadic Context-Free Tree Grammars
In this paper, subclasses of monadic contextfree tree grammars (CFTGs) are compared. Since linear, nondeleting, monadic CFTGs generate the same class of string languages as tree adjoining grammars (TAGs), it is examined whether the restrictions of linearity and nondeletion on monadic CFTGs are necessary to generate the...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bertagna-etal-2004-content
http://www.lrec-conf.org/proceedings/lrec2004/pdf/743.pdf
Content Interoperability of Lexical Resources: Open Issues and ``MILE'' Perspectives
The paper tackles the issue of content interoperability among lexical resources, by presenting an experiment of mapping differently conceived lexicons, FrameNet and NOMLEX, onto MILE (Multilingual ISLE Lexical Entry), a meta-entry for the encoding of multilingual lexical information, acting as a general schema of share...
false
[]
[]
null
null
null
We want to dedicate this contribution to the memory of Antonio Zampolli, who has been the pioneer of standardization initiatives in Europe.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schlichtkrull-martinez-alonso-2016-msejrku
https://aclanthology.org/S16-1209
MSejrKu at SemEval-2016 Task 14: Taxonomy Enrichment by Evidence Ranking
Automatic enrichment of semantic taxonomies with novel data is a relatively unexplored task with potential benefits in a broad array of natural language processing problems. Task 14 of SemEval 2016 poses the challenge of designing systems for this task. In this paper, we describe and evaluate several machine learning s...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gey-etal-2008-japanese
http://www.lrec-conf.org/proceedings/lrec2008/pdf/363_paper.pdf
A Japanese-English Technical Lexicon for Translation and Language Research
In this paper we present a Japanese-English Bilingual lexicon of technical terms. The lexicon was derived from the first and second NTCIR evaluation collections for research into cross-language information retrieval for Asian languages. While it can be utilized for translation between Japanese and English, the lexicon ...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
oprea-magdy-2019-exploring
https://aclanthology.org/P19-1275
Exploring Author Context for Detecting Intended vs Perceived Sarcasm
We investigate the impact of using author context on textual sarcasm detection. We define author context as the embedded representation of their historical posts on Twitter and suggest neural models that extract these representations. We experiment with two tweet datasets, one labelled manually for sarcasm, and the oth...
false
[]
[]
null
null
null
This work was supported in part by the EPSRC Centre for Doctoral Training in Data Science, funded by the UK Engineering and Physical Sciences Research Council (grant EP/L016427/1); the University of Edinburgh; and The Financial Times.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
almeida-etal-2015-aligning
https://aclanthology.org/P15-1040
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies
We propose a cross-lingual framework for fine-grained opinion mining using bitext projection. The only requirements are a running system in a source language and word-aligned parallel data. Our method projects opinion frames from the source to the target language, and then trains a system on the target language using t...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their insightful comments, and Richard Johansson for sharing his code and for answering several questions.This work was partially supported by the EU/FEDER programme, QREN/POR Lisboa (Portugal), under the Intelligo project (contract 2012/24803) and by a FCT grants UID/...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aloraini-poesio-2020-cross
https://aclanthology.org/2020.lrec-1.11
Cross-lingual Zero Pronoun Resolution
In languages like Arabic, Chinese, Italian, Japanese, Korean, Portuguese, Spanish, and many others, predicate arguments in certain syntactic positions are not realized instead of being realized as overt pronouns, and are thus called zero-or null-pronouns. Identifying and resolving such omitted arguments is crucial to m...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their insightful comments and suggestions which helped to improve the quality of the paper.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jwalapuram-2017-evaluating
https://doi.org/10.26615/issn.1314-9156.2017_003
Evaluating Dialogs based on Grice's Maxims
null
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
heeman-2007-combining
https://aclanthology.org/N07-1034
Combining Reinformation Learning with Information-State Update Rules
Reinforcement learning gives a way to learn under what circumstances to perform which actions. However, this approach lacks a formal framework for specifying hand-crafted restrictions, for specifying the effects of the system actions, or for specifying the user simulation. The information state approach, in contrast, a...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wiebe-1993-issues
https://aclanthology.org/W93-0239
Issues in Linguistic Segmentation
This paper addresses discourse structure from the perspective of understanding. It would perhaps help us understand the na,ture of discourse relatiolls il" we better understood what units of a text. can be related to one a.nother. In Olle ma.jor theory of discourse structure, Rhetorical Structure Theory (Mann &: Thomps...
false
[]
[]
null
null
null
null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mihaylov-etal-2015-exposing
https://aclanthology.org/R15-1058
Exposing Paid Opinion Manipulation Trolls
Recently, Web forums have been invaded by opinion manipulation trolls. Some trolls try to influence the other users driven by their own convictions, while in other cases they can be organized and paid, e.g., by a political party or a PR agency that gives them specific instructions what to write. Finding paid trolls aut...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
tarmom-etal-2020-automatic
https://aclanthology.org/2020.icon-main.4
Automatic Hadith Segmentation using PPM Compression
In this paper we explore the use of Prediction by partial matching (PPM) compression based to segment Hadith into its two main components (Isnad and Matan). The experiments utilized the PPMD variant of the PPM, showing that PPMD is effective in Hadith segmentation. It was also tested on Hadith corpora of different stru...
false
[]
[]
null
null
null
The first author is grateful to the Saudi government for their support.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
basile-etal-2021-probabilistic
https://aclanthology.org/2021.ranlp-1.16
Probabilistic Ensembles of Zero- and Few-Shot Learning Models for Emotion Classification
Emotion Classification is the task of automatically associating a text with a human emotion. State-of-the-art models are usually learned using annotated corpora or rely on hand-crafted affective lexicons. We present an emotion classification model that does not require a large annotated corpus to be competitive. We exp...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2019-information
https://aclanthology.org/N19-1359
Information Aggregation for Multi-Head Attention with Routing-by-Agreement
Multi-head attention is appealing for its ability to jointly extract different types of information from multiple representation subspaces. Concerning the information aggregation, a common practice is to use a concatenation followed by a linear transformation, which may not fully exploit the expressiveness of multi-hea...
false
[]
[]
null
null
null
Jian Li and Michael R. Lyu were supported by the Research Grants Council of the Hong Kong Special Administrative Region, China (No. CUHK 14210717 of the General Research Fund), and Microsoft Research Asia (2018 Microsoft Research Asia Collaborative Research Award). We thank the anonymous reviewers for their insightful ...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2020-negative
https://aclanthology.org/2020.emnlp-main.359
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
Modern multilingual models are trained on concatenated text from multiple languages in hopes of conferring benefits to each (positive transfer), with the most pronounced benefits accruing to low-resource languages. However, recent work has shown that this approach can degrade performance on high-resource languages, a p...
false
[]
[]
null
null
null
We want to thank Jaime Carbonell for his support on the early stage of this project. We also would like to thank Zihang Dai, Graham Neubig, Orhan Firat, Yuan Cao, Jiateng Xie, Xinyi Wang, Ruochen Xu and Yiheng Zhou for insightful discussions. Lastly, we thank anonymous reviewers for their valueable feedbacks.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
besacier-etal-2010-lig
https://aclanthology.org/2010.iwslt-evaluation.12
LIG statistical machine translation systems for IWSLT 2010
null
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dou-etal-2019-unsupervised
https://aclanthology.org/D19-1147
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
The recent success of neural machine translation models relies on the availability of high quality, in-domain data. Domain adaptation is required when domain-specific data is scarce or nonexistent. Previous unsupervised domain adaptation strategies include training the model with in-domain copied monolingual or back-tr...
false
[]
[]
null
null
null
We are grateful to Xinyi Wang and anonymous reviewers for their helpful suggestions and insightful comments. We also thank Zhi-Hao Zhou, Shuyan Zhou and Anna Belova for proofreading the paper.This material is based upon work generously supported partly by the National Science Foundation under grant 1761548 and the Defe...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
read-etal-2012-sentence
https://aclanthology.org/C12-2096
Sentence Boundary Detection: A Long Solved Problem?
We review the state of the art in automated sentence boundary detection (SBD) for English and call for a renewed research interest in this foundational first step in natural language processing. We observe severe limitations in comparability and reproducibility of earlier work and a general lack of knowledge about genr...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
muller-etal-2021-unseen
https://aclanthology.org/2021.naacl-main.38
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models
Transfer learning based on pretraining language models on a large amount of raw data has become a new norm to reach state-of-theart performance in NLP. Still, it remains unclear how this approach should be applied for unseen languages that are not covered by any available large-scale multilingual language model and for...
false
[]
[]
null
null
null
The Inria authors were partly funded by two French Research National agency projects, namely projects PARSITI (ANR-16-CE33-0021) and SoSweet (ANR-15-CE38-0011), as well as by Benoit Sagot's chair in the PRAIRIE institute as part of the "Investissements d'avenir" programme under the reference ANR-19-P3IA-0001. Antonios ...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tomokiyo-ries-1997-makes
https://aclanthology.org/W97-1008
What makes a word: Learning base units in Japanese for speech recognition
We describe an automatic process for learning word units in Japanese. Since the Japanese orthography has no spaces delimiting words, the first step in building a Japanese speech recognition system is to define the units that will be recognized. Our method applies a compound-finding algorithm, previously used to find wo...
false
[]
[]
null
null
null
null
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
takmaz-etal-2020-generating
https://aclanthology.org/2020.emnlp-main.377
Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze
When speakers describe an image, they tend to look at objects before mentioning them. In this paper, we investigate such sequential crossmodal alignment by modelling the image description generation process computationally. We take as our starting point a state-of-theart image captioning system and develop several mode...
false
[]
[]
null
null
null
We are grateful to Lieke Gelderloos for her help with the Dutch transcriptions, and to Jelle Zuidema and the participants of EurNLP 2019 for their feedback on a preliminary version of the work. Lisa Beinborn worked on the project mostly when being employed at the University of Amsterdam. This project has received fundi...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
scharffe-2017-class
https://aclanthology.org/W17-7303
Class Disjointness Constraints as Specific Objective Functions in Neural Network Classifiers
Increasing performance of deep learning techniques on computer vision tasks like object detection has led to systems able to detect a large number of classes of objects. Most deep learning models use simple unstructured labels and assume that any domain knowledge will be learned from the data. However when the domain i...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bowman-zhu-2019-deep
https://aclanthology.org/N19-5002
Deep Learning for Natural Language Inference
The task of natural language inference (NLI; also known as recognizing textual entailment, or RTE) asks a system to evaluate the relationships between the truth-conditional meanings of two sentences or, in other words, decide whether one sentence follows from another. This task neatly isolates the core NLP problem of s...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kang-etal-2018-dataset
https://aclanthology.org/N18-1149
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
Peer reviewing is a central component in the scientific publishing process. We present the first public dataset of scientific peer reviews available for research purposes (PeerRead v1), 1 providing an opportunity to study this important artifact. The dataset consists of 14.7K paper drafts and the corresponding accept/r...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
This work would not have been possible without the efforts of Rich Gerber and Paolo Gai (developers of the softconf.com conference management system), Stefan Riezler, Yoav Goldberg (chairs of CoNLL 2016), Min-Yen Kan, Regina Barzilay (chairs of ACL 2017) for allowing authors and reviewers to opt-in for this dataset dur...
2018
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
kim-lee-2000-decision
https://aclanthology.org/C00-2156
Decision-Tree based Error Correction for Statistical Phrase Break Prediction in Korean
In this paper, we present a new phrase break prediction architecture that integrates probabilistic approach with decision-tree based error correction. The probabilistic method alone usually su ers from performance degradation due to inherent data sparseness problems and it only covers a limited range of contextual info...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aulamo-tiedemann-2019-opus
https://aclanthology.org/W19-6146
The OPUS Resource Repository: An Open Package for Creating Parallel Corpora and Machine Translation Services
This paper presents a flexible and powerful system for creating parallel corpora and for running neural machine translation services. Our package provides a scalable data repository backend that offers transparent data pre-processing pipelines and automatic alignment procedures that facilitate the compilation of extens...
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The work was supported by the Swedish Culture Foundation and we are grateful for the resources provided by the Finnish IT Center for Science, CSC.
2019
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shim-kim-1993-towards
https://aclanthology.org/1993.tmi-1.24
Towards a Machine Translation System with Self-Critiquing Capability
null
false
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1993
false
false
false
false
false
false
false
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false
kaeshammer-demberg-2012-german
http://www.lrec-conf.org/proceedings/lrec2012/pdf/398_Paper.pdf
German and English Treebanks and Lexica for Tree-Adjoining Grammars
We present a treebank and lexicon for German and English, which have been developed for PLTAG parsing. PLTAG is a psycholinguistically motivated, incremental version of tree-adjoining grammar (TAG). The resources are however also applicable to parsing with other variants of TAG. The German PLTAG resources are based on ...
false
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null
2012
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false
false
bick-2004-named
http://www.lrec-conf.org/proceedings/lrec2004/pdf/99.pdf
A Named Entity Recognizer for Danish
This paper describes how a preexisting Constraint Grammar based parser for Danish (DanGram, Bick 2002) has been adapted and semantically enhanced in order to accommodate for named entity recognition (NER), using rule based and lexical, rather than probabilistic methodology. The project is part of a multilingual Nordic ...
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null
2004
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false
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false
false
false
false
false
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false
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false
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false
false
yang-etal-2019-tokyotech
https://aclanthology.org/S19-2061
TokyoTech\_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection
This paper presents our contextual emotion detection system in approaching the SemEval-2019 shared task 3: EmoContext: Contextual Emotion Detection in Text. This system cooperates with an emotion detection neural network method (Poria et al., 2017), emoji2vec (Eisner et al., 2016) embedding, word2vec embedding (Mikolov...
false
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The research results have been achieved by "Research and Development of Deep Learning Technology for Advanced Multilingual Speech Translation", the Commissioned Research of National Institute of Information and Communications Technology (NICT), Japan.
2019
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false
freibott-1992-computer
https://aclanthology.org/1992.tc-1.5
Computer aided translation in an integrated document production process: Tools and applications
The intemationalisation of markets, the ever shortening life cycles of products as well as the increasing importance of information technology all demand a change in technical equipment, the software used on it and the organisational structures and processes in our working environment. Translation as a whole, but in pa...
true
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Industry, Innovation and Infrastructure
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null
1992
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false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
kozareva-hovy-2011-insights
https://aclanthology.org/P11-1162
Insights from Network Structure for Text Mining
Text mining and data harvesting algorithms have become popular in the computational linguistics community. They employ patterns that specify the kind of information to be harvested, and usually bootstrap either the pattern learning or the term harvesting process (or both) in a recursive cycle, using data learned in one...
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We acknowledge the support of DARPA contract number FA8750-09-C-3705 and NSF grant IIS-0429360. We would like to thank Sujith Ravi for his useful comments and suggestions.
2011
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false
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etchegoyhen-etal-2016-exploiting
https://aclanthology.org/L16-1560
Exploiting a Large Strongly Comparable Corpus
This article describes a large comparable corpus for Basque and Spanish and the methods employed to build a parallel resource from the original data. The EITB corpus, a strongly comparable corpus in the news domain, is to be shared with the research community, as an aid for the development and testing of methods in com...
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Acknowledgements The authors wish to thank Euskal Irrati Telebista, for providing the resources and agreeing to share them with the research community, and the three anonymous LREC reviewers for their constructive feedback. This work was partially supported by the Basque Government through its funding of project PLATA ...
2016
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guo-etal-2021-bertweetfr
https://aclanthology.org/2021.wnut-1.49
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets
We introduce BERTweetFR, the first largescale pre-trained language model for French tweets. Our model is initialized using the general-domain French language model CamemBERT (Martin et al., 2020) which follows the base architecture of BERT. Experiments show that BERTweetFR outperforms all previous general-domain French...
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This research is supported by the French National research agency (ANR) via the ANR XCOVIF (AAP RA-COVID-19 V6) project. We would also like to thank the National Center for Scientific Research (CNRS) for giving us access to their Jean Zay supercomputer.
2021
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schockaert-2018-knowledge
https://aclanthology.org/W18-4006
Knowledge Representation with Conceptual Spaces
is a professor at Cardiff University. His current research interests include commonsense reasoning, interpretable machine learning, vagueness and uncertainty modelling, representation learning, and information retrieval. He holds an ERC Starting Grant, and has previously been supported by funding from the Leverhulme Tr...
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2018
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gasperin-briscoe-2008-statistical
https://aclanthology.org/C08-1033
Statistical Anaphora Resolution in Biomedical Texts
This paper presents a probabilistic model for resolution of non-pronominal anaphora in biomedical texts. The model seeks to find the antecedents of anaphoric expressions, both coreferent and associative ones, and also to identify discourse-new expressions. We consider only the noun phrases referring to biomedical entit...
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Good Health and Well-Being
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null
This work is part of the BBSRC-funded FlySlip project. Caroline Gasperin is funded by a CAPES award from the Brazilian government.
2008
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bond-etal-1994-countability
https://aclanthology.org/C94-1002
Countability and Number in Japanese to English Machine Translation
This paper presents a heuristic method that uses information in the Japanese text along with knowledge of English countability and number stored in transfer dictionaries to determine the countability and number of English.noun phrases. Incorporating this method into the machine translation system ALTJ/E, helped tO rais...
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null
1994
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bender-2012-100
https://aclanthology.org/N12-4001
100 Things You Always Wanted to Know about Linguistics But Were Afraid to Ask*
Many NLP tasks have at their core a subtask of extracting the dependencies-who did what to whom-from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. ...
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2012
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bojar-etal-2010-data
http://www.lrec-conf.org/proceedings/lrec2010/pdf/756_Paper.pdf
Data Issues in English-to-Hindi Machine Translation
Statistical machine translation to morphologically richer languages is a challenging task and more so if the source and target languages differ in word order. Current state-of-the-art MT systems thus deliver mediocre results. Adding more parallel data often helps improve the results; if it doesn't, it may be caused by ...
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The research has been supported by the grants MSM0021620838 (Czech Ministry of Education) and EuromatrixPlus (FP7-ICT-2007-3-231720 of the EU and 7E09003 of the Czech Republic).
2010
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tenfjord-etal-2006-ask
http://www.lrec-conf.org/proceedings/lrec2006/pdf/573_pdf.pdf
The ASK Corpus - a Language Learner Corpus of Norwegian as a Second Language
In our paper we present the design and interface of ASK, a language learner corpus of Norwegian as a second language which contains essays collected from language tests on two different proficiency levels as well as personal data from the test takers. In addition, the corpus also contains texts and relevant personal da...
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Quality Education
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2006
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true
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garain-basu-2019-titans-semeval
https://aclanthology.org/S19-2133
The Titans at SemEval-2019 Task 6: Offensive Language Identification, Categorization and Target Identification
This system paper is a description of the system submitted to "SemEval-2019 Task 6", where we had to detect offensive language in Twitter. There were two specific target audiences, immigrants and women. The language of the tweets was English. We were required to first detect whether a tweet contains offensive content, ...
true
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Peace, Justice and Strong Institutions
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2019
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true
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lin-etal-2019-ji
https://aclanthology.org/2019.rocling-1.13
基於深度學習之簡答題問答系統初步探討(A Preliminary Study on Deep Learning-based Short Answer Question Answering System)
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2019
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quochi-2004-representing
http://www.lrec-conf.org/proceedings/lrec2004/pdf/463.pdf
Representing Italian Complex Nominals: A Pilot Study
A corpus-based investigation of Italian Complex Nominals (CNs), of the form N+PP, which aims at clarifying their syntactic and semantic constitution, is presented. The main goal is to find out useful parameters for their representation in a computational lexicon. As a reference model we have taken an implementation of ...
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2004
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bajcsy-joshi-1978-problem
https://aclanthology.org/J78-3028
The Problem of Naming Shapes: Vision-Language Interface
Philadelphia, PA 19104 In this paper, we will pose more questions than-present solutions. We want to raise some questions in the context of the representation of shapes of 3-D objects. One way to get a handle o r 1 this problem is to investigate whether labels of shapes and the& acquisition reveals any s-trm~$ux of att...
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1978
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false
false
dasgupta-ng-2007-high
https://aclanthology.org/N07-1020
High-Performance, Language-Independent Morphological Segmentation
This paper introduces an unsupervised morphological segmentation algorithm that shows robust performance for four languages with different levels of morphological complexity. In particular, our algorithm outperforms Goldsmith's Linguistica and Creutz and Lagus's Morphessor for English and Bengali, and achieves performa...
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null
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2007
false
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false
false
mordido-meinel-2020-mark
https://aclanthology.org/2020.coling-main.178
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods
We propose a family of metrics to assess language generation derived from population estimation methods widely used in ecology. More specifically, we use mark-recapture and maximumlikelihood methods that have been applied over the past several decades to estimate the size of closed populations in the wild. We propose t...
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null
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null
2020
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popescu-2009-name
https://aclanthology.org/N09-2039
Name Perplexity
The accuracy of a Cross Document Coreference system depends on the amount of context available, which is a parameter that varies greatly from corpora to corpora. This paper presents a statistical model for computing name perplexity classes. For each perplexity class, the prior probability of coreference is estimated. T...
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null
2009
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false