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sido-etal-2021-czert
https://aclanthology.org/2021.ranlp-1.149
Czert -- Czech BERT-like Model for Language Representation
This paper describes the training process of the first Czech monolingual language representation models based on BERT and ALBERT architectures. We pre-train our models on more than 340K of sentences, which is 50 times more than multilingual models that include Czech data. We outperform the multilingual models on 9 out ...
false
[]
[]
null
null
null
This work has been partly supported by ERDF "Research and Development of Intelligent Components of Advanced Technologies for the Pilsen Metropolitan Area (InteCom)" (no.: CZ.02.1.01/0.0/0.0/17 048/0007267); and by Grant No. SGS-2019-018 Processing of heterogeneous data and its specialized applications. Computational re...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gehrmann-etal-2021-gem
https://aclanthology.org/2021.gem-1.10
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics. Measuring progress in NLG relies on a constantly evolving ecosystem of automated metrics, datasets, and human evaluation standards. Due to this moving target, new models often still evaluate on divergent anglo-centr...
false
[]
[]
null
null
null
The authors of this paper not named in the groups participated in initial discussions, participated in the surveys, and provided regular feedback and guidance. Many participants commented on and helped write this paper. We additionally thank all participants of INLG 2019, the Generation Birdsof-a-Feather meeting at ACL...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
novak-novak-2021-transfer
https://aclanthology.org/2021.ranlp-1.119
Transfer-based Enrichment of a Hungarian Named Entity Dataset
In this paper, we present a major update to the first Hungarian named entity dataset, the Szeged NER corpus. We used zero-shot crosslingual transfer to initialize the enrichment of entity types annotated in the corpus using three neural NER models: two of them based on the English OntoNotes corpus and one based on the ...
false
[]
[]
null
null
null
This research was implemented with support provided by grants FK 125217 and PD 125216 of the National Research, Development and Innovation Office of Hungary financed under the FK 17 and PD 17 funding schemes as well as through the Artificial Intelligence National Excellence Program (grant no.: 2018-1.2.1-NKP-2018-00008...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hu-etal-2019-texar
https://aclanthology.org/P19-3027
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
We introduce Texar, an open-source toolkit aiming to support the broad set of text generation tasks that transform any inputs into natural language, such as machine translation, summarization, dialog, content manipulation, and so forth. With the design goals of modularity, versatility, and extensibility in mind, Texar ...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhao-huang-1998-quasi
https://aclanthology.org/C98-1001
A Quasi-Dependency Model for Structural Analysis it of Chinese BaseNPs
The paper puts forward a quasidependency model for structural analysis of Chinese baseNPs and a MDL-based algorithm for quasidependency-strength acquisition. The experiments show that the proposed model is more suitable for Chinese baseNP analysis and the proposed MDLbased algorithm is superior to the traditional MLbas...
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
filimonov-harper-2007-recovery
https://aclanthology.org/D07-1065
Recovery of Empty Nodes in Parse Structures
In this paper, we describe a new algorithm for recovering WH-trace empty nodes. Our approach combines a set of handwritten patterns together with a probabilistic model. Because the patterns heavily utilize regular expressions, the pertinent tree structures are covered using a limited number of patterns. The probabilist...
false
[]
[]
null
null
null
We would like to thank Ryan Gabbard for providing us output from his algorithm for evaluation. We would also like to thank the anonymous reviewers for invaluable comments. This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-06-C-0023. Any opinion...
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
linzen-2020-accelerate
https://aclanthology.org/2020.acl-main.465
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
This position paper describes and critiques the Pretraining-Agnostic Identically Distributed (PAID) evaluation paradigm, which has become a central tool for measuring progress in natural language understanding. This paradigm consists of three stages: (1) pretraining of a word prediction model on a corpus of arbitrary s...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jin-hauptmann-2002-new
https://aclanthology.org/C02-1137
A New Probabilistic Model for Title Generation
Title generation is a complex task involving both natural language understanding and natural language synthesis. In this paper, we propose a new probabilistic model for title generation. Different from the previous statistical models for title generation, which treat title generation as a generation process that conver...
false
[]
[]
null
null
null
The authors are grateful to the anonymous reviewers for their comments, which have helped improve the quality of the paper. This material is based in part on work supported by National Science Foundation under Cooperative Agreement No. IRI-9817496. Partial support for this work was provided by the National Science Foun...
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kozhevnikov-titov-2014-cross
https://aclanthology.org/P14-2095
Cross-lingual Model Transfer Using Feature Representation Projection
We propose a novel approach to crosslingual model transfer based on feature representation projection. First, a compact feature representation relevant for the task in question is constructed for either language independently and then the mapping between the two representations is determined using parallel data. The ta...
false
[]
[]
null
null
null
The authors would like to acknowledge the support of MMCI Cluster of Excellence and Saarbrücken Graduate School of Computer Science and thank the anonymous reviewers for their suggestions.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
knight-sproat-2009-writing
https://aclanthology.org/N09-4008
Writing Systems, Transliteration and Decipherment
Kevin Knight (USC/ISI) Richard Sproat (CSLU/OHSU) Nearly all of the core data that computational linguists deal with is in the form of text, which is to say that it consists of language data written (usually) in the standard writing system for the language in question. Yet surprisingly little is generally understood ab...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
holan-etal-1998-two
https://aclanthology.org/W98-0503
Two Useful Measures of Word Order Complexity
This paper presents a class of dependency-based forreal grammars (FODG) which can be parametrized by two different but similar measures of nonprojectivity. The measures allow to formulate constraints on the degree of word-order freedom in a language described by a FODG. We discuss the problem of the degree of word-orde...
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mohammad-etal-2018-semeval
https://aclanthology.org/S18-1001
SemEval-2018 Task 1: Affect in Tweets
We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferring the affectual state of a person from their tweet. For each task, we created labeled data from English, Arabic, and Spanish tweets. The individual tasks are: 1. emotion intensity regression, 2. emotion intensity ordina...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
miculicich-henderson-2022-graph
https://aclanthology.org/2022.findings-acl.215
Graph Refinement for Coreference Resolution
The state-of-the-art models for coreference resolution are based on independent mention pairwise decisions. We propose a modelling approach that learns coreference at the documentlevel and takes global decisions. For this purpose, we model coreference links in a graph structure where the nodes are tokens in the text, a...
false
[]
[]
null
null
null
This work was supported in part by the Swiss National Science Foundation, under grants 200021_178862 and CRSII5_180320.
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
prasad-etal-2008-towards
https://aclanthology.org/I08-7010
Towards an Annotated Corpus of Discourse Relations in Hindi
We describe our initial efforts towards developing a large-scale corpus of Hindi texts annotated with discourse relations. Adopting the lexically grounded approach of the Penn Discourse Treebank (PDTB), we present a preliminary analysis of discourse connectives in a small corpus. We describe how discourse connectives a...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kunz-etal-2021-heicic
https://aclanthology.org/2021.motra-1.2
HeiCiC: A simultaneous interpreting corpus combining product and pre-process data
This paper presents HeiCIC, a simultaneous interpreting corpus that comprises audio files, time-aligned transcripts and corresponding preparation material complemented by annotation layers. The corpus serves the pursuit of a range of research questions focusing on strategic cognitive load management and its effects on ...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chang-etal-2021-nao
https://aclanthology.org/2021.ccl-1.57
脑卒中疾病电子病历实体及实体关系标注语料库构建(Corpus Construction for Named-Entity and Entity Relations for Electronic Medical Records of Stroke Disease)
This paper discussed the labeling of Named-Entity and Entity Relations in Chinese electronic medical records of stroke disease, and proposes a system and norms for labeling entity and entity relations that are suitable for content and characteristics of electronic medical records of stroke disease. Based on the guidanc...
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
lee-chang-2003-acquisition
https://aclanthology.org/W03-0317
Acquisition of English-Chinese Transliterated Word Pairs from Parallel-Aligned Texts using a Statistical Machine Transliteration Model
This paper presents a framework for extracting English and Chinese transliterated word pairs from parallel texts. The approach is based on the statistical machine transliteration model to exploit the phonetic similarities between English words and corresponding Chinese transliterations. For a given proper noun in Engli...
false
[]
[]
null
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zilio-etal-2017-using
https://doi.org/10.26615/978-954-452-049-6_107
Using NLP for Enhancing Second Language Acquisition
null
true
[]
[]
Quality Education
null
null
null
2017
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
nasr-rambow-2004-simple
https://aclanthology.org/W04-1503
A Simple String-Rewriting Formalism for Dependency Grammar
Recently, dependency grammar has gained renewed attention as empirical methods in parsing have emphasized the importance of relations between words, which is what dependency grammars model explicitly, but context-free phrase-structure grammars do not. While there has been much work on formalizing dependency grammar and...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhao-etal-2010-automatic
https://aclanthology.org/C10-2171
Automatic Temporal Expression Normalization with Reference Time Dynamic-Choosing
Temporal expressions in texts contain significant temporal information. Understanding temporal information is very useful in many NLP applications, such as information extraction, documents summarization and question answering. Therefore, the temporal expression normalization which is used for transforming temporal exp...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dolan-etal-2004-unsupervised
https://aclanthology.org/C04-1051
Unsupervised Construction of Large Paraphrase Corpora: Exploiting Massively Parallel News Sources
We investigate unsupervised techniques for acquiring monolingual sentence-level paraphrases from a corpus of temporally and topically clustered news articles collected from thousands of web-based news sources. Two techniques are employed: (1) simple string edit distance, and (2) a heuristic strategy that pairs initial ...
false
[]
[]
null
null
null
We are grateful to the Mo Corston-Oliver, Jeff Stevenson and Amy Muia of the Butler Hill Group for their work in annotating the data used in the experiments. We have also benefited from discussions with Ken Church, Mark Johnson, Daniel Marcu and Franz Och. We remain, however, responsible for all content.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ghosh-etal-2020-cease
https://aclanthology.org/2020.lrec-1.201
CEASE, a Corpus of Emotion Annotated Suicide notes in English
A suicide note is usually written shortly before the suicide, and it provides a chance to comprehend the self-destructive state of mind of the deceased. From a psychological point of view, suicide notes have been utilized for recognizing the motive behind the suicide. To the best of our knowledge, there are no openly a...
true
[]
[]
Good Health and Well-Being
null
null
Authors gratefully acknowledge the support from the project titled 'Development of C-DAC Digital Forensic Centre with AI based Knowledge Support Tools', supported by MeitY, Govt. of India and Govt. of Bihar. The authors would also like to thank the linguists: Akash Bhagat, Suman Shekhar (IIT Patna) and Danish Armaan (I...
2020
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
horacek-2013-justifying
https://aclanthology.org/R13-1040
Justifying Corpus-Based Choices in Referring Expression Generation
Most empirically-based approaches to NL generation elaborate on co-occurrences and frequencies observed over a corpus, which are then accommodated by learning algorithms. This method fails to capture generalities in generation subtasks, such as generating referring expressions, so that results obtained for some corpus ...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
carpenter-qu-1995-abstract
https://aclanthology.org/1995.iwpt-1.9
An Abstract Machine for Attribute-Value Logics
A direct abstract machine implementation of the core attribute-value logic operations is shown to decrease the number of operations and conserve the amount of storage required when compared to interpreters or indirect compilers. In this paper, we describe the fundamental data structures and compilation techniques that ...
false
[]
[]
null
null
null
null
1995
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
batra-etal-2021-building
https://aclanthology.org/2021.emnlp-main.53
Building Adaptive Acceptability Classifiers for Neural NLG
We propose a novel framework to train models to classify acceptability of responses generated by natural language generation (NLG) models, improving upon existing sentence transformation and model-based approaches. An NLG response is considered acceptable if it is both semantically correct and grammatical. We don't mak...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
husain-etal-2011-clausal
https://aclanthology.org/I11-1143
Clausal parsing helps data-driven dependency parsing: Experiments with Hindi
This paper investigates clausal data-driven dependency parsing. We first motivate a clause as the minimal parsing unit by correlating inter-and intra-clausal relations with relation type, depth, arc length and non-projectivity. This insight leads to a two-stage formulation of parsing where intra-clausal relations are i...
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ws-2001-adaptation
https://aclanthology.org/W01-0300
Adaptation in Dialog Systems
null
false
[]
[]
null
null
null
null
2001
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
maier-kallmeyer-2010-discontinuity
https://aclanthology.org/W10-4415
Discontinuity and Non-Projectivity: Using Mildly Context-Sensitive Formalisms for Data-Driven Parsing
We present a parser for probabilistic Linear Context-Free Rewriting Systems and use it for constituency and dependency treebank parsing. The choice of LCFRS, a formalism with an extended domain of locality, enables us to model discontinuous constituents and nonprojective dependencies in a straightforward way. The parsi...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kiela-bottou-2014-learning
https://aclanthology.org/D14-1005
Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics
We construct multi-modal concept representations by concatenating a skip-gram linguistic representation vector with a visual concept representation vector computed using the feature extraction layers of a deep convolutional neural network (CNN) trained on a large labeled object recognition dataset. This transfer learni...
false
[]
[]
null
null
null
We would like to thank Maxime Oquab for providing the feature extraction code.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kyle-etal-2013-native
https://aclanthology.org/W13-1731
Native Language Identification: A Key N-gram Category Approach
This study explores the efficacy of an approach to native language identification that utilizes grammatical, rhetorical, semantic, syntactic, and cohesive function categories comprised of key n-grams. The study found that a model based on these categories of key n-grams was able to successfully predict the L1 of essays...
false
[]
[]
null
null
null
We thank ETS for compiling and providing the TOEFL11 corpus, and we also thank the organizers of the NLI Shared Task 2013.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bingel-etal-2016-extracting
https://aclanthology.org/P16-1071
Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction
Neuro-imaging studies on reading different parts of speech (PoS) report somewhat mixed results, yet some of them indicate different activations with different PoS. This paper addresses the difficulty of using fMRI to discriminate between linguistic tokens in reading of running text because of low temporal resolution. W...
true
[]
[]
Good Health and Well-Being
null
null
This research was partially funded by the ERC Starting Grant LOWLANDS No. 313695, as well as by Trygfonden.
2016
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
long-etal-2017-xjnlp
https://aclanthology.org/S17-2178
XJNLP at SemEval-2017 Task 12: Clinical temporal information ex-traction with a Hybrid Model
Temporality is crucial in understanding the course of clinical events from a patient's electronic health records and temporal processing is becoming more and more important for improving access to content. SemEval 2017 Task 12 (Clinical TempEval) addressed this challenge using the THYME corpus, a corpus of clinical nar...
true
[]
[]
Good Health and Well-Being
null
null
This work has been supported by "The Fundamental Theory and Applications of Big Data with
2017
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
evans-1996-legitimate
https://aclanthology.org/Y96-1033
Legitimate Termination of Nonlocal Features in HPSG
This paper reviews the treatment of wh-question facts offered by Lappin and Johnson 1996, and suggests that their account of certain island phenomena should be adapted by assuming that certain phrase structures license binding of inherited features. In Japanese, Lappin and Johnson's INHERILQUE feature appears to be dep...
false
[]
[]
null
null
null
null
1996
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
suzuki-2012-classifying
https://aclanthology.org/W12-5307
Classifying Hotel Reviews into Criteria for Review Summarization
Recently, we can refer to user reviews in the shopping or hotel reservation sites. However, with the exponential growth of information of the Internet, it is becoming increasingly difficult for a user to read and understand all the materials from a large-scale reviews. In this paper, we propose a method for classifying...
false
[]
[]
null
null
null
The authors would like to thank the referees for their comments on the earlier version of this paper. This work was partially supported by The Telecommunications Advancement Foundation.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
inaba-1996-computational
https://aclanthology.org/Y96-1029
A Computational Expression of Initial Binary Feet and Surface Ternary Feet in Metrical Theory
Under the strict binary foot parsing (Kager 1993), stray elements may occur between bimoraic feet. The stray element may be associated to the preceding foot or following foot at surface level. Stray element adjunction is the mechanism for achieving surface exhaustivity. Each language has its own unique mecbanism of str...
false
[]
[]
null
null
null
null
1996
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
silva-etal-2010-top
http://www.lrec-conf.org/proceedings/lrec2010/pdf/136_Paper.pdf
Top-Performing Robust Constituency Parsing of Portuguese: Freely Available in as Many Ways as you Can Get it
In this paper we present LX-Parser, a probabilistic, robust constituency parser for Portuguese. This parser achieves ca. 88% f-score in the labeled bracketing task, thus reaching a state-of-the-art performance score that is in line with those that are currently obtained by top-ranking parsers for English, the most stud...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
perez-beltrachini-lapata-2021-models
https://aclanthology.org/2021.emnlp-main.742
Models and Datasets for Cross-Lingual Summarisation
We present a cross-lingual summarisation corpus with long documents in a source language associated with multi-sentence summaries in a target language. The corpus covers twelve language pairs and directions for four European languages, namely Czech, English, French and German, and the methodology for its creation can b...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their feedback. We also thank Yumo Xu for useful discussions about the models. We are extremely grateful to our bilingual annotators and to Voxeurop SCE publishers. We gratefully acknowledge the support of the European Research Council (award number 681760).
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
komninos-manandhar-2016-dependency
https://aclanthology.org/N16-1175
Dependency Based Embeddings for Sentence Classification Tasks
We compare different word embeddings from a standard window based skipgram model, a skipgram model trained using dependency context features and a novel skipgram variant that utilizes additional information from dependency graphs. We explore the effectiveness of the different types of word embeddings for word similarit...
false
[]
[]
null
null
null
Alexandros Komninos was supported by EP-SRC via an Engineering Doctorate in LSCITS. Suresh Manandhar was supported by EPSRC grant EP/I037512/1, A Unified Model of Compositional & Distributional Semantics: Theory and Application.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
merlo-van-der-plas-2009-abstraction
https://aclanthology.org/P09-1033
Abstraction and Generalisation in Semantic Role Labels: PropBank, VerbNet or both?
Semantic role labels are the representation of the grammatically relevant aspects of a sentence meaning. Capturing the nature and the number of semantic roles in a sentence is therefore fundamental to correctly describing the interface between grammar and meaning. In this paper, we compare two annotation schemes, Prop-...
false
[]
[]
null
null
null
We thank James Henderson and Ivan Titov for useful comments. The research leading to these results has received partial funding from the EU FP7 programme (FP7/2007-2013) under grant agreement number 216594 (CLASSIC project: www.classic-project.org).
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
green-2011-effects
https://aclanthology.org/P11-3013
Effects of Noun Phrase Bracketing in Dependency Parsing and Machine Translation
Flat noun phrase structure was, up until recently, the standard in annotation for the Penn Treebanks. With the recent addition of internal noun phrase annotation, dependency parsing and applications down the NLP pipeline are likely affected. Some machine translation systems, such as TectoMT, use deep syntax as a langua...
false
[]
[]
null
null
null
This research has received funding from the European Commissions 7th Framework Program (FP7) under grant agreement n • 238405 (CLARA), and from grant MSM 0021620838. I would like to thank ZdeněkŽabokrtský for his guidance in this research and also the anonymous reviewers for their comments.
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
fei-etal-2020-mimic
https://aclanthology.org/2020.findings-emnlp.18
Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP
Syntax has been shown useful for various NLP tasks, while existing work mostly encodes singleton syntactic tree using one hierarchical neural network. In this paper, we investigate a simple and effective method, Knowledge Distillation, to integrate heterogeneous structure knowledge into a unified sequential LSTM encode...
false
[]
[]
null
null
null
This work is supported by the National Natural Science Foundation of China (No. 61772378, No. 61702121)
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mcintosh-2009-canadian
https://aclanthology.org/2009.mtsummit-government.4
Canadian Job Bank Automated Translation System
§ Job Bank (www.jobbank.gc.ca) is a free job-posting service provided by the Federal Government to all Canadians. Employers have the option to create a profile; upon approval, they can then post job offers. § Job seekers are able to access these positions in two ways. Standard Job Search and Job Matching § Several addi...
true
[]
[]
Decent Work and Economic Growth
null
null
null
2009
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
false
sornlertlamvanich-etal-2000-automatic
https://aclanthology.org/C00-2116
Automatic Corpus-Based Thai Word Extraction with the C4.5 Learning Algorithm
Word" is difficult to define in the languages that do not exhibit explicit word boundary, such as Thai. Traditional methods on defining words for this kind of languages have to depend on human judgement which bases on unclear criteria or procedures, and have several limitations. This paper proposes an algorithm for wor...
false
[]
[]
null
null
null
Special thanks to Assistant Professor Mikio Yamamoto for providing the useful program to extract all substrings from the corpora in linear time.
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
song-etal-2020-multi
https://aclanthology.org/2020.emnlp-main.546
Multi-Stage Pre-training for Automated Chinese Essay Scoring
This paper proposes a pre-training based automated Chinese essay scoring method. The method involves three components: weakly supervised pre-training, supervised crossprompt fine-tuning and supervised targetprompt fine-tuning. An essay scorer is first pretrained on a large essay dataset covering diverse topics and with...
true
[]
[]
Quality Education
null
null
This work is supported by the National Natural Science Foundation of China (Nos. 61876113, 61876112), Beijing Natural Science Foundation (No. 4192017) and Capital Building for Sci-Tech Innovation-Fundamental Scientific Research Funds. Lizhen Liu is the corresponding author.
2020
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
vu-etal-2022-domain
https://aclanthology.org/2022.findings-acl.49
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training
Generalising to unseen domains is underexplored and remains a challenge in neural machine translation. Inspired by recent research in parameter-efficient transfer learning from pretrained models, this paper proposes a fusionbased generalisation method that learns to combine domain-specific parameters. We propose a leav...
false
[]
[]
null
null
null
This research is supported by an eBay Research Award and the ARC Future Fellowship FT190100039. This work is partly sponsored by the Air Force Research Laboratory and DARPA under agreement number FA8750-19-2-0501. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithst...
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bisk-hockenmaier-2013-hdp
https://aclanthology.org/Q13-1007
An HDP Model for Inducing Combinatory Categorial Grammars
We introduce a novel nonparametric Bayesian model for the induction of Combinatory Categorial Grammars from POS-tagged text. It achieves state of the art performance on a number of languages, and induces linguistically plausible lexicons.
false
[]
[]
null
null
null
This work is supported by NSF CAREER award 1053856 (Bayesian Models for Lexicalized Grammars).
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jauhiainen-etal-2017-evaluating
https://aclanthology.org/W17-1212
Evaluating HeLI with Non-Linear Mappings
In this paper we describe the non-linear mappings we used with the Helsinki language identification method, HeLI, in the 4 th edition of the Discriminating between Similar Languages (DSL) shared task, which was organized as part of the Var-Dial 2017 workshop. Our SUKI team participated in the closed track together with...
false
[]
[]
null
null
null
We would like to thank Kimmo Koskenniemi for many valuable discussions and comments. This research was made possible by funding from the Kone Foundation Language Programme.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-etal-2020-fast
https://aclanthology.org/2020.wmt-1.62
Fast Interleaved Bidirectional Sequence Generation
Independence assumptions during sequence generation can speed up inference, but parallel generation of highly interdependent tokens comes at a cost in quality. Instead of assuming independence between neighbouring tokens (semi-autoregressive decoding, SA), we take inspiration from bidirectional sequence generation and ...
false
[]
[]
null
null
null
This work was performed using resources provided by the Cambridge Service for Data Driven Discovery (CSD3) operated by the University of Cambridge Research Computing Service (http: //www.csd3.cam.ac.uk/), provided by Dell EMC and Intel using Tier-2 funding from the Engineering and Physical Sciences Research Council (ca...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
grefenstette-2015-inriasac
https://aclanthology.org/S15-2152
INRIASAC: Simple Hypernym Extraction Methods
For information retrieval, it is useful to classify documents using a hierarchy of terms from a domain. One problem is that, for many domains, hierarchies of terms are not available. The task 17 of SemEval 2015 addresses the problem of structuring a set of terms from a given domain into a taxonomy without manual interv...
false
[]
[]
null
null
null
This research is partially funded by a research grant from INRIA, and the Paris-Saclay Institut de la Société Numérique funded by the IDEX Paris-Saclay, ANR-11-IDEX-0003-02.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
seyffarth-kallmeyer-2020-corpus
https://aclanthology.org/2020.coling-main.357
Corpus-based Identification of Verbs Participating in Verb Alternations Using Classification and Manual Annotation
English verb alternations allow participating verbs to appear in a set of syntactically different constructions whose associated semantic frames are systematically related. We use ENCOW and VerbNet data to train classifiers to predict the instrument subject alternation and the causativeinchoative alternation, relying o...
false
[]
[]
null
null
null
The work presented in this paper was financed by the Deutsche Forschungsgemeinschaft (DFG) within the CRC 991 "The Structure of Representations in Language, Cognition, and Science" and the individual DFG project "Unsupervised Frame Induction (FInd)". We wish to thank the anonymous reviewers for their constructive feedb...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shen-etal-2021-sciconceptminer
https://aclanthology.org/2021.acl-demo.6
SciConceptMiner: A system for large-scale scientific concept discovery
Scientific knowledge is evolving at an unprecedented rate of speed, with new concepts constantly being introduced from millions of academic articles published every month. In this paper, we introduce a self-supervised end-toend system, SciConceptMiner, for the automatic capture of emerging scientific concepts from both...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
13 We split the sampled data of each category to 3 groups with 100 each and they are evaluated by 3 judges. We report the average of positive label ratios.Source Age Avg Y 5% Y 50% Y 95% Y Wiki
2021
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
niu-2017-chinese
https://aclanthology.org/W17-6519
Chinese Descriptive and Resultative V-de Constructions. A Dependency-based Analysis
This contribution presents a dependency grammar (DG) analysis of the so-called descriptive and resultative V-de constructions in Mandarin Chinese (VDCs); it focuses, in particular, on the dependency analysis of the noun phrase that intervenes between the two predicates in a VDC. Two methods, namely chunking data collec...
false
[]
[]
null
null
null
The research presented in this article was funded by the Ministry of Education of the People's Republic of China, Grant # 15YJA74001.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lichouri-abbas-2020-speechtrans
https://aclanthology.org/2020.smm4h-1.19
SpeechTrans@SMM4H'20: Impact of Preprocessing and N-grams on Automatic Classification of Tweets That Mention Medications
This paper describes our system developed for automatically classifying tweets that mention medications. We used the Decision Tree classifier for this task. We have shown that using some elementary preprocessing steps and TF-IDF n-grams led to acceptable classifier performance. Indeed, the F1-score recorded was 74.58% ...
true
[]
[]
Good Health and Well-Being
null
null
null
2020
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
alexin-etal-2003-annotated
https://aclanthology.org/E03-1012
Annotated Hungarian National Corpus
The beginning of the work dates back to 1998 when the authors started a research project on the application of ILP (Inductive Logic Programming) learning methods for part-of-speech tagging. This research was done within the framework of a European ESPRIT project (LTR 20237, "lLP2") , where first studies were based on t...
false
[]
[]
null
null
null
The project was partially supported by the Hungarian Ministry of Education (grant: IKTA 27/2000). The authors also would like to thank researchers of the Research Institute for Linguistics at the Hungarian Academy of Sciences for their kind help and advice.
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
meyers-etal-2004-cross
http://www.lrec-conf.org/proceedings/lrec2004/pdf/397.pdf
The Cross-Breeding of Dictionaries
Especially for English, the number of hand-coded electronic resources available to the Natural Language Processing Community keeps growing: annotated corpora, treebanks, lexicons, wordnets, etc. Unfortunately, initial funding for such projects is much easier to obtain than the additional funding needed to enlarge or im...
false
[]
[]
null
null
null
Nombank is supported under Grant N66001-001-1-8917 from the Space and Naval Warfare Systems Center San Diego. This paper does not necessarily reflect the position or the policy of the U.S. Government.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
janarthanam-lemon-2010-adaptive
https://aclanthology.org/W10-4324
Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
We present new results from a real-user evaluation of a data-driven approach to learning user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to understand in technical domains where users may not know the technical 'jargon' names of the domain...
false
[]
[]
null
null
null
The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 216594 (CLASSiC project www.classic-project.org) and from the EPSRC, project no. EP/G069840/1.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sitbon-bellot-2006-tools
http://www.lrec-conf.org/proceedings/lrec2006/pdf/410_pdf.pdf
Tools and methods for objective or contextual evaluation of topic segmentation
In this paper we discuss the way of evaluating topic segmentation, from mathematical measures on variously constructed reference corpus to contextual evaluation depending on different topic segmentation usages. We present an overview of the different ways of building reference corpora and of mathematically evaluating s...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
foret-nir-2002-rigid
https://aclanthology.org/C02-1111
Rigid Lambek Grammars Are Not Learnable from Strings
null
false
[]
[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
defauw-etal-2019-collecting
https://aclanthology.org/W19-6733
Collecting domain specific data for MT: an evaluation of the ParaCrawlpipeline
This paper investigates the effectiveness of the ParaCrawl pipeline for collecting domain-specific training data for machine translation. We follow the different steps of the pipeline (document alignment, sentence alignment, cleaning) and add a topic-filtering component. Experiments are performed on the legal domain fo...
false
[]
[]
null
null
null
This work was performed in the framework of the SMART 2015/1091 project ("Tools and resources for CEF automated translation"), funded by the CEF Telecom programme (Connecting Europe Facility).
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jonnalagadda-etal-2013-evaluating
https://aclanthology.org/W13-0404
Evaluating the Use of Empirically Constructed Lexical Resources for Named Entity Recognition
One of the most time-consuming tasks faced by a Natural Language Processing (NLP) researcher or practitioner trying to adapt a machine-learning-based NER system to a different domain is the creation, compilation, and customization of the needed lexicons. Lexical resources, such as lexicons of concept classes are consid...
false
[]
[]
null
null
null
This work was possible because of funding from possible sources: NLM HHSN276201000031C (PI: Gonzalez), NCRR 3UL1RR024148, NCRR 1RC1RR028254, NSF 0964613 and the Brown Foundation (PI: Bernstam), NSF ABI:0845523, NLM R01LM009959A1 (PI: Liu) and NLM 1K99LM011389 (PI: Jonnalagadda). We also thank the developers of BANNER (...
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dai-etal-2020-multi
https://aclanthology.org/2020.emnlp-main.565
A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis
(T)ACSA tasks, including aspect-category sentiment analysis (ACSA) and targeted aspectcategory sentiment analysis (TACSA), aims at identifying sentiment polarity on predefined categories. Incremental learning on new categories is necessary for (T)ACSA real applications. Though current multi-task learning models achieve...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nn-1977-finite-string-volume-14-number-5
https://aclanthology.org/J77-3003
The FINITE STRING, Volume 14, Number 5
AMERICAN JOURNAL OF COMPUTATIONAL LINGUISTICS is published by the Association for Computational Linguistics.
false
[]
[]
null
null
null
null
1977
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tyers-etal-2012-flexible
https://aclanthology.org/2012.eamt-1.54
Flexible finite-state lexical selection for rule-based machine translation
In this paper we describe a module (rule formalism, rule compiler and rule processor) designed to provide flexible support for lexical selection in rule-based machine translation. The motivation and implementation for the system is outlined and an efficient algorithm to compute the best coverage of lexical-selection ru...
false
[]
[]
null
null
null
We are thankful for the support of the Spanish Ministry of Science and Innovation through project TIN2009-14009-C02-01, and the Universitat d'Alacant through project GRE11-20. We also thank Sergio Ortiz Rojas for his constructive comments and ideas on the development of the system, and the anonymous reviewers for comme...
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pucher-2007-wordnet
https://aclanthology.org/P07-2033
WordNet-based Semantic Relatedness Measures in Automatic Speech Recognition for Meetings
This paper presents the application of WordNet-based semantic relatedness measures to Automatic Speech Recognition (ASR) in multi-party meetings. Different word-utterance context relatedness measures and utterance-coherence measures are defined and applied to the rescoring of Nbest lists. No significant improvements in...
false
[]
[]
null
null
null
This work was supported by the European Union 6th FP IST Integrated Project AMI (Augmented Multiparty Interaction, and by Kapsch Carrier-Com AG and Mobilkom Austria AG together with the Austrian competence centre programme Kplus.
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
calzolari-etal-2004-enabler
http://www.lrec-conf.org/proceedings/lrec2004/pdf/545.pdf
ENABLER Thematic Network of National Projects: Technical, Strategic and Political Issues of LRs
In this paper we present general strategies concerning Language Resources (LRs)-Written, Spoken and, recently, Multimodal-as developed within the ENABLER Thematic Network. LRs are a central component of the so-called "linguistic infrastructure" (the other key element being Evaluation), necessary for the development of ...
true
[]
[]
Industry, Innovation and Infrastructure
Partnership for the goals
null
null
2004
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
true
escoter-etal-2017-grouping
https://aclanthology.org/E17-1103
Grouping business news stories based on salience of named entities
In news aggregation systems focused on broad news domains, certain stories may appear in multiple articles. Depending on the relative importance of the story, the number of versions can reach dozens or hundreds within a day. The text in these versions may be nearly identical or quite different. Linking multiple version...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sartorio-etal-2013-transition
https://aclanthology.org/P13-1014
A Transition-Based Dependency Parser Using a Dynamic Parsing Strategy
We present a novel transition-based, greedy dependency parser which implements a flexible mix of bottom-up and top-down strategies. The new strategy allows the parser to postpone difficult decisions until the relevant information becomes available. The novel parser has a ∼12% error reduction in unlabeled attachment sco...
false
[]
[]
null
null
null
We wish to thank Liang Huang and Marco Kuhlmann for discussion related to the ideas reported in this paper, and the anonymous reviewers for their useful suggestions. The second author has been partially supported by MIUR under project PRIN No. 2010LYA9RH 006.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bagga-2000-analyzing
https://aclanthology.org/W00-0106
Analyzing the Reading Comprehension Task
In this paper we describe a method for analyzing the reading comprehension task. First, we describe a method of classifying facts (information) into categories or levels; where each level signifies a different degree of difficulty of extracting a fact from a piece of text containing it. We then proceed to show how one ...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-etal-2020-distilling
https://aclanthology.org/2020.acl-main.705
Distilling Knowledge Learned in BERT for Text Generation
Large-scale pre-trained language model such as BERT has achieved great success in language understanding tasks. However, it remains an open question how to utilize BERT for language generation. In this paper, we present a novel approach, Conditional Masked Language Modeling (C-MLM), to enable the finetuning of BERT on ...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
castillo-2010-machine
https://aclanthology.org/W10-1609
A Machine Learning Approach for Recognizing Textual Entailment in Spanish
This paper presents a system that uses machine learning algorithms for the task of recognizing textual entailment in Spanish language. The datasets used include SPARTE Corpus and a translated version to Spanish of RTE3, RTE4 and RTE5 datasets. The features chosen quantify lexical, syntactic and semantic level matching ...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wich-etal-2020-impact
https://aclanthology.org/2020.alw-1.7
Impact of Politically Biased Data on Hate Speech Classification
One challenge that social media platforms are facing nowadays is hate speech. Hence, automatic hate speech detection has been increasingly researched in recent years-in particular with the rise of deep learning. A problem of these models is their vulnerability to undesirable bias in training data. We investigate the im...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
This paper is based on a joined work in the context of Jan Bauer's master's thesis (Bauer, 2020) . This research has been partially funded by a scholarship from the Hanns Seidel Foundation financed by the German Federal Ministry of Education and Research.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
temperley-2010-invited
https://aclanthology.org/N10-1114
Invited Talk: Music, Language, and Computational Modeling: Lessons from the Key-Finding Problem
Recent research in computational music research, including my own, has been greatly influenced by methods in computational linguistics. But I believe the influence could also go the other way: Music may offer some interesting lessons for language research, particularly with regard to the modeling of cognition.
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
singh-etal-2011-large
https://aclanthology.org/P11-1080
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models
Cross-document coreference, the task of grouping all the mentions of each entity in a document collection, arises in information extraction and automated knowledge base construction. For large collections, it is clearly impractical to consider all possible groupings of mentions into distinct entities. To solve the prob...
false
[]
[]
null
null
null
This work was done when the first author was an intern at Google Research. The authors would like to thank Mark Dredze, Sebastian Riedel, and anonymous reviewers for their valuable feedback. This work was supported in part by the Center for Intelligent Information Retrieval, the University of Massachusetts gratefully a...
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dethlefs-etal-2014-cluster
https://aclanthology.org/E14-1074
Cluster-based Prediction of User Ratings for Stylistic Surface Realisation
Surface realisations typically depend on their target style and audience. A challenge in estimating a stylistic realiser from data is that humans vary significantly in their subjective perceptions of linguistic forms and styles, leading to almost no correlation between ratings of the same utterance. We address this pro...
false
[]
[]
null
null
null
Acknowledgements This research was funded by the EC FP7 programme FP7/2011-14 under grant agreements no. 270019 (SPACEBOOK) and no. 287615 (PARLANCE).
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yang-etal-2016-extraction
https://aclanthology.org/N16-2012
Extraction of Bilingual Technical Terms for Chinese-Japanese Patent Translation
The translation of patents or scientific papers is a key issue that should be helped by the use of statistical machine translation (SMT). In this paper, we propose a method to improve Chinese-Japanese patent SMT by premarking the training corpus with aligned bilingual multi-word terms. We automatically extract multi-wo...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
null
2016
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
magri-2014-error
https://aclanthology.org/W14-2802
The Error-driven Ranking Model of the Acquisition of Phonotactics: How to Keep the Faithfulness Constraints at Bay
A problem which arises in the theory of the error-driven ranking model of the acquisition of phonotactics is that the faithfulness constraints need to be promoted but should not be promoted too high. This paper motivates this technical problem and shows how to tune the promotion component of the re-ranking rule so as t...
false
[]
[]
null
null
null
This research was supported by a Marie Curie Intra European Fellowship within the 7th European
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
philpot-etal-2005-omega
https://aclanthology.org/I05-7009
The Omega Ontology
null
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
christodoulopoulos-etal-2016-incremental
https://aclanthology.org/W16-1906
An incremental model of syntactic bootstrapping
Syntactic bootstrapping is the hypothesis that learners can use the preliminary syntactic structure of a sentence to identify and characterise the meanings of novel verbs. Previous work has shown that syntactic bootstrapping can begin using only a few seed nouns (Connor et al., 2010; Connor et al., 2012). Here, we rela...
false
[]
[]
null
null
null
The authors would like to thank the anonymous reviewers for their suggestions. Many thanks also to Catriona Silvey for her help with the manuscript. This research is supported by NIH grant R01-HD054448-07.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
leeuwenberg-moens-2018-word
https://aclanthology.org/C18-1291
Word-Level Loss Extensions for Neural Temporal Relation Classification
Unsupervised pre-trained word embeddings are used effectively for many tasks in natural language processing to leverage unlabeled textual data. Often these embeddings are either used as initializations or as fixed word representations for task-specific classification models. In this work, we extend our classification m...
false
[]
[]
null
null
null
The authors would like to thank the reviewers for their constructive comments which helped us to improve the paper. Also, we would like to thank the Mayo Clinic for permission to use the THYME corpus. This work was funded by the KU Leuven C22/15/16 project "MAchine Reading of patient recordS (MARS)", and by the IWT-SBO...
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pereira-etal-2010-learning
https://aclanthology.org/W10-0601
Learning semantic features for fMRI data from definitional text
Mitchell et al., 2008) showed that it was possible to use a text corpus to learn the value of hypothesized semantic features characterizing the meaning of a concrete noun. The authors also demonstrated that those features could be used to decompose the spatial pattern of fMRI-measured brain activation in response to a ...
true
[]
[]
Good Health and Well-Being
null
null
We would like to thank David Blei for discussions about topic modelling in general and of the Wikipedia corpus in particular and Ken Norman for valuable feedback at various stages of the work.
2010
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tsai-lai-2018-functions
https://aclanthology.org/Y18-1078
The Functions of Must-constructions in Spoken Corpus: A Constructionist Perspective
This study investigates must constructions in the Spoken British National Corpus 2014 (Spoken BNC2014). A constructionist perspective is taken to examine the structure and distribution of must constructions in the spoken corpus. Moreover, a conversational analysis is conducted to identify the functions of must construc...
false
[]
[]
null
null
null
This work was supported in part by the Ministry of Education under the Grants 107H121-08.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
power-1999-generating
https://aclanthology.org/E99-1002
Generating referring expressions with a unification grammar
A simple formalism is proposed to represent the contexts in which pronouns, definite/indefinite descriptions, and ordinal descriptions (e.g. 'the second book') can be used, and the way in which these expressions change the context. It is shown that referring expressions can be generated by a unification grammar provide...
false
[]
[]
null
null
null
null
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chandrahas-etal-2020-inducing
https://aclanthology.org/2020.icon-main.9
Inducing Interpretability in Knowledge Graph Embeddings
We study the problem of inducing interpretability in Knowledge Graph (KG) embeddings. Learning KG embeddings has been an active area of research in the past few years, resulting in many different models. However, most of these methods do not address the interpretability (semantics) of individual dimensions of the learn...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their constructive comments. This work is supported by the Ministry of Human Resources Development (Government of India).
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
coltekin-2010-freely
http://www.lrec-conf.org/proceedings/lrec2010/pdf/109_Paper.pdf
A Freely Available Morphological Analyzer for Turkish
This paper presents TRmorph, a two-level morphological analyzer for Turkish. TRmorph is a fairly complete and accurate morphological analyzer for Turkish. However, strength of TRmorph is neither in its performance, nor in its novelty. The main feature of this analyzer is its availability. It has completely been impleme...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hu-etal-2018-texar
https://aclanthology.org/W18-2503
Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation
We introduce Texar, an open-source toolkit aiming to support the broad set of text generation tasks. Different from many existing toolkits that are specialized for specific applications (e.g., neural machine translation), Texar is designed to be highly flexible and versatile. This is achieved by abstracting the common ...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
montariol-allauzen-2019-empirical
https://aclanthology.org/R19-1092
Empirical Study of Diachronic Word Embeddings for Scarce Data
Word meaning change can be inferred from drifts of time-varying word embeddings. However, temporal data may be too sparse to build robust word embeddings and to discriminate significant drifts from noise. In this paper, we compare three models to learn diachronic word embeddings on scarce data: incremental updating of ...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mostafazadeh-davani-etal-2021-improving
https://aclanthology.org/2021.woah-1.10
Improving Counterfactual Generation for Fair Hate Speech Detection
Bias mitigation approaches reduce models' dependence on sensitive features of data, such as social group tokens (SGTs), resulting in equal predictions across the sensitive features. In hate speech detection, however, equalizing model predictions may ignore important differences among targeted social groups, as hate spe...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
This research was sponsored in part by NSF CA-REER BCS-1846531 to Morteza Dehghani.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
wu-etal-2018-phrase
https://aclanthology.org/D18-1408
Phrase-level Self-Attention Networks for Universal Sentence Encoding
Universal sentence encoding is a hot topic in recent NLP research. Attention mechanism has been an integral part in many sentence encoding models, allowing the models to capture context dependencies regardless of the distance between elements in the sequence. Fully attention-based models have recently attracted enormou...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wei-gulla-2010-sentiment
https://aclanthology.org/P10-1042
Sentiment Learning on Product Reviews via Sentiment Ontology Tree
Existing works on sentiment analysis on product reviews suffer from the following limitations: (1) The knowledge of hierarchical relationships of products attributes is not fully utilized. (2) Reviews or sentences mentioning several attributes associated with complicated sentiments are not dealt with very well. In this...
false
[]
[]
null
null
null
The authors would like to thank the anonymous reviewers for many helpful comments on the manuscript. This work is funded by the Research Council of Norway under the VERDIKT research programme (Project No.: 183337).
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bloem-etal-2019-modeling
https://aclanthology.org/W19-4733
Modeling a Historical Variety of a Low-Resource Language: Language Contact Effects in the Verbal Cluster of Early-Modern Frisian
Certain phenomena of interest to linguists mainly occur in low-resource languages, such as contact-induced language change. We show that it is possible to study contact-induced language change computationally in a historical variety of a low-resource language, Early-Modern Frisian, by creating a model using features th...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dahl-mccord-1983-treating
https://aclanthology.org/J83-2002
Treating Coordination in Logic Grammars
Logic grammars are grammars expressible in predicate logic. Implemented in the programming language Prolog, logic grammar systems have proved to be a good basis for natural language processing. One of the most difficult constructions for natural language grammars to treat is coordination (construction with conjunctions...
false
[]
[]
null
null
null
null
1983
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rangarajan-sridhar-etal-2013-segmentation
https://aclanthology.org/N13-1023
Segmentation Strategies for Streaming Speech Translation
The study presented in this work is a first effort at real-time speech translation of TED talks, a compendium of public talks with different speakers addressing a variety of topics. We address the goal of achieving a system that balances translation accuracy and latency. In order to improve ASR performance for our dive...
false
[]
[]
null
null
null
We would like to thank Simon Byers for his help with organizing the TED talks data.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gupta-etal-2015-dissecting
https://aclanthology.org/S15-1017
Dissecting the Practical Lexical Function Model for Compositional Distributional Semantics
The Practical Lexical Function model (PLF) is a recently proposed compositional distributional semantic model which provides an elegant account of composition, striking a balance between expressiveness and robustness and performing at the state-of-the-art. In this paper, we identify an inconsistency in PLF between the ...
false
[]
[]
null
null
null
We gratefully acknowledge funding of our research by the DFG (SFB 732, Project D10).
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yoon-1996-danger
https://aclanthology.org/Y96-1045
Danger of Partial Universality : In Two Uses of In-adverbials
Not all empirical facts are treated equally in science; in theorizing, some are weighed more heavily than others. It is often unavoidable and it should not necessarily be avoided. We will present a case where a semantic theory is influenced more by a seemingly universal fact, but in fact accidental among related langua...
false
[]
[]
null
null
null
null
1996
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wachsmuth-etal-2017-building
https://aclanthology.org/W17-5106
Building an Argument Search Engine for the Web
Computational argumentation is expected to play a critical role in the future of web search. To make this happen, many searchrelated questions must be revisited, such as how people query for arguments, how to mine arguments from the web, or how to rank them. In this paper, we develop an argument search framework for st...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
williams-liden-2017-demonstration
https://aclanthology.org/W17-5511
Demonstration of interactive teaching for end-to-end dialog control with hybrid code networks
This is a demonstration of interactive teaching for practical end-to-end dialog systems driven by a recurrent neural network. In this approach, a developer teaches the network by interacting with the system and providing on-the-spot corrections. Once a system is deployed, a developer can also correct mistakes in logged...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
abb-etal-1993-incremental
https://aclanthology.org/E93-1002
The Incremental Generation of Passive Sentences
This paper sketches some basic features of the SYNPHONICS account of the computational modelling of incremental language production with the example of the generation of passive sentences. The SYNPHONICS approach aims at linking psycholinguistic insights into the nature of the human natural language production process ...
false
[]
[]
null
null
null
null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kuncham-etal-2015-statistical
https://aclanthology.org/R15-1042
Statistical Sandhi Splitter and its Effect on NLP Applications
This paper revisits the work of (Kuncham et al., 2015) which developed a statistical sandhi splitter (SSS) for agglutinative languages that was tested for Telugu and Malayalam languages. Handling compound words is a major challenge for Natural Language Processing (NLP) applications for agglutinative languages. Hence, i...
false
[]
[]
null
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lux-etal-2020-truth
https://aclanthology.org/2020.eval4nlp-1.1
Truth or Error? Towards systematic analysis of factual errors in abstractive summaries
This paper presents a typology of errors produced by automatic summarization systems. The typology was created by manually analyzing the output of four recent neural summarization systems. Our work is motivated by the growing awareness of the need for better summary evaluation methods that go beyond conventional overla...
false
[]
[]
null
null
null
Acknowledgments: We thank FD Mediagroep for conducting the Smart Journalism project which allowed us to perform this research.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
islam-etal-2012-text
https://aclanthology.org/Y12-1059
Text Readability Classification of Textbooks of a Low-Resource Language
There are many languages considered to be low-density languages, either because the population speaking the language is not very large, or because insufficient digitized text material is available in the language even though millions of people speak the language. Bangla is one of the latter ones. Readability classifica...
true
[]
[]
Quality Education
null
null
We would like to thank Mr. Munir Hasan from the Bangladesh Open Source Network (BdOSN) and Mr. Murshid Aktar from the National Curriculum & Textbook Board Authority, Bangladesh for their help on corpus collection. We would also like to thank Andy Lücking, Paul Warner and Armin Hoenen for their fruitful suggestions and ...
2012
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false