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lakomkin-etal-2017-gradascent
https://aclanthology.org/W17-5222
GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection
The WASSA 2017 EmoInt shared task has the goal to predict emotion intensity values of tweet messages. Given the text of a tweet and its emotion category (anger, joy, fear, and sadness), the participants were asked to build a system that assigns emotion intensity values. Emotion intensity estimation is a challenging pro...
false
[]
[]
null
null
null
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642667 (SECURE). We would like to thank Dr. Cornelius Weber and Dr. Sven Magg for their helpful comments and suggestions.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
stolcke-1995-efficient
https://aclanthology.org/J95-2002
An Efficient Probabilistic Context-Free Parsing Algorithm that Computes Prefix Probabilities
We describe an extension of Earley's parser for stochastic context-free grammars that computes the following quantities given a stochastic context-free grammar and an input string: a) probabilities of successive prefixes being generated by the grammar; b) probabilities of substrings being generated by the nonterminals,...
false
[]
[]
null
null
null
Thanks are due Dan Jurafsky and Steve Omohundro for extensive discussions on the topics in this paper, and Fernando Pereira for helpful advice and pointers. Jerry Feldman, Terry Regier, Jonathan Segal, Kevin Thompson, and the anonymous reviewers provided valuable comments for improving content and presentation.
1995
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
radev-etal-2003-evaluation
https://aclanthology.org/P03-1048
Evaluation Challenges in Large-Scale Document Summarization
We present a large-scale meta evaluation of eight evaluation measures for both single-document and multi-document summarizers. To this end we built a corpus consisting of (a) 100 Million automatic summaries using six summarizers and baselines at ten summary lengths in both English and Chinese, (b) more than 10,000 manu...
false
[]
[]
null
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
o-donnaile-2014-tools
https://aclanthology.org/W14-4603
Tools facilitating better use of online dictionaries: Technical aspects of Multidict, Wordlink and Clilstore
The Internet contains a plethora of openly available dictionaries of many kinds, translating between thousands of language pairs. Three tools are described, Multidict, Wordlink and Clilstore, all openly available at multidict.net, which enable these diverse resources to be harnessed, unified, and utilised in ergonomic ...
false
[]
[]
null
null
null
Multidict and Wordlink were first developed under the EC financed 44 POOLS-T 45 project. Clilstore was developed, and Multidict and Wordlink further developed under TOOLS 46 project financed by the EC's Lifelong Learning Programme. Much of the credit for their development goes to the suggestions, user testing and feedb...
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nothman-etal-2014-command
https://aclanthology.org/W14-5207
Command-line utilities for managing and exploring annotated corpora
Users of annotated corpora frequently perform basic operations such as inspecting the available annotations, filtering documents, formatting data, and aggregating basic statistics over a corpus. While these may be easily performed over flat text files with stream-processing UNIX tools, similar tools for structured anno...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
joshi-schabes-1989-evaluation
https://aclanthology.org/H89-2053
An Evaluation of Lexicalization in Parsing
In this paper, we evaluate a two-pass parsing strategy proposed for the so-called 'lexicalized' grammar. In 'lexicalized' grammars (Schabes, Abeill$ and Joshi, 1988), each elementary structure is systematically associated with a lexical item called anchor. These structures specify extended domains of locality (as compa...
false
[]
[]
null
null
null
null
1989
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gonzalez-etal-2019-elirf
https://aclanthology.org/S19-2031
ELiRF-UPV at SemEval-2019 Task 3: Snapshot Ensemble of Hierarchical Convolutional Neural Networks for Contextual Emotion Detection
This paper describes the approach developed by the ELiRF-UPV team at SemEval 2019 Task 3: Contextual Emotion Detection in Text. We have developed a Snapshot Ensemble of 1D Hierarchical Convolutional Neural Networks to extract features from 3-turn conversations in order to perform contextual emotion detection in text. T...
false
[]
[]
null
null
null
This work has been partially supported by the Spanish MINECO and FEDER founds under project AMIC (TIN2017-85854-C4-2-R) and the GiSPRO project (PROMETEU/2018/176). Work of José-Ángel González is also financed by Universitat Politècnica de València under grant PAID-01-17.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gardent-perez-beltrachini-2012-using
https://aclanthology.org/W12-4614
Using FB-LTAG Derivation Trees to Generate Transformation-Based Grammar Exercises
Using a Feature-Based Lexicalised Tree Adjoining Grammar (FB-LTAG), we present an approach for generating pairs of sentences that are related by a syntactic transformation and we apply this approach to create language learning exercises. We argue that the derivation trees of an FB-LTAG provide a good level of represent...
false
[]
[]
null
null
null
The research presented in this paper was partially supported by the European Fund for Regional Development within the framework of the INTER-REG IV A Allegro Project. We would also like to thank German Kruszewski and Elise Fetet for their help in developing and annotating the test data.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kawahara-etal-2002-construction
http://www.lrec-conf.org/proceedings/lrec2002/pdf/302.pdf
Construction of a Japanese Relevance-tagged Corpus
This paper describes our corpus annotation project. The annotated corpus has relevance tags which consist of predicate-argument relations, relations between nouns, and coreferences. To construct this relevance-tagged corpus, we investigated a large corpus and established the specification of the annotation. This paper ...
false
[]
[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
oepen-etal-2005-holistic
https://aclanthology.org/2005.eamt-1.27
Holistic regression testing for high-quality MT: some methodological and technological reflections
We review the techniques and tools used for regression testing, the primary quality assurance measure, in a multi-site research project working towards a high-quality Norwegian-English MT demonstrator. A combination of hand-constructed test suites, domain-specific corpora, specialized software tools, and somewhat rigid...
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dunn-adams-2020-geographically
https://aclanthology.org/2020.lrec-1.308
Geographically-Balanced Gigaword Corpora for 50 Language Varieties
While text corpora have been steadily increasing in overall size, even very large corpora are not designed to represent global population demographics. For example, recent work has shown that existing English gigaword corpora over-represent inner-circle varieties from the US and the UK (Dunn, 2019b). To correct implici...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2017-crowd
https://aclanthology.org/D17-1205
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles
Crowdsourcing has proven to be an effective method for generating labeled data for a range of NLP tasks. However, multiple recent attempts of using crowdsourcing to generate gold-labeled training data for semantic role labeling (SRL) reported only modest results, indicating that SRL is perhaps too difficult a task to b...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ashida-etal-2020-building
https://aclanthology.org/2020.aacl-srw.9
Building a Part-of-Speech Tagged Corpus for Drenjongke (Bhutia)
This research paper reports on the generation of the first Drenjongke corpus based on texts taken from a phrase book for beginners, written in the Tibetan script. A corpus of sentences was created after correcting errors in the text scanned through optical character reading (OCR). A total of 34 Part-of-Speech (PoS) tag...
false
[]
[]
null
null
null
The authors are grateful to Jin-Dong Kim and three anonymous reviewers for their feedback on the paper, Mamoru Komachi for insightful discussions regarding the annotation process, Arseny Tolmachev for the post-acceptance mentorship, and the AACL-IJCNLP SRW committee members for providing support of various kinds. Of co...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kuribayashi-etal-2020-language
https://aclanthology.org/2020.acl-main.47
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese
We examine a methodology using neural language models (LMs) for analyzing the word order of language. This LM-based method has the potential to overcome the difficulties existing methods face, such as the propagation of preprocessor errors in count-based methods. In this study, we explore whether the LMbased method is ...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pruksachatkun-etal-2020-intermediate
https://aclanthology.org/2020.acl-main.467
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
While pretrained models such as BERT have shown large gains across natural language understanding tasks, their performance can be improved by further training the model on a data-rich intermediate task, before fine-tuning it on a target task. However, it is still poorly understood when and why intermediate-task trainin...
false
[]
[]
null
null
null
This project has benefited from support to SB by Eric and Wendy Schmidt (made by recommendation of the Schmidt Futures program), by Samsung Research (under the project Improving Deep Learning using Latent Structure), by Intuit, Inc., and by NVIDIA Corporation (with the donation of a Titan V GPU).
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
xu-etal-2002-domain
http://www.lrec-conf.org/proceedings/lrec2002/pdf/351.pdf
A Domain Adaptive Approach to Automatic Acquisition of Domain Relevant Terms and their Relations with Bootstrapping
In this paper, we present an unsupervised hybrid text-mining approach to automatic acquisition of domain relevant terms and their relations. We deploy the TFIDF-based term classification method to acquire domain relevant single-word terms. Further, we apply two strategies in order to learn lexico-syntatic patterns whic...
false
[]
[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
feldman-etal-2006-cross
http://www.lrec-conf.org/proceedings/lrec2006/pdf/554_pdf.pdf
A Cross-language Approach to Rapid Creation of New Morpho-syntactically Annotated Resources
We take a novel approach to rapid, low-cost development of morpho-syntactically annotated resources without using parallel corpora or bilingual lexicons. The overall research question is how to exploit language resources and properties to facilitate and automate the creation of morphologically annotated corpora for new...
false
[]
[]
null
null
null
We would like to thank Maria das Graças Volpe Nunes, Sandra Maria Aluísio, and Ricardo Hasegawa for giving us access to the NILC corpus annotated with PALAVRAS and to Carlos Rodríguez Penagos for letting us use the CLiC-TALP corpus.
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
biemann-etal-2008-asv
http://www.lrec-conf.org/proceedings/lrec2008/pdf/447_paper.pdf
ASV Toolbox: a Modular Collection of Language Exploration Tools
ASV Toolbox is a modular collection of tools for the exploration of written language data both for scientific and educational purposes. It includes modules that operate on word lists or texts and allow to perform various linguistic annotation, classification and clustering tasks, including language detection, POS-taggi...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ghannay-etal-2016-evaluation
https://aclanthology.org/W16-2511
Evaluation of acoustic word embeddings
Recently, researchers in speech recognition have started to reconsider using whole words as the basic modeling unit, instead of phonetic units. These systems rely on a function that embeds an arbitrary or fixed dimensional speech segments to a vector in a fixed-dimensional space, named acoustic word embedding. Thus, sp...
false
[]
[]
null
null
null
This work was partially funded by the European Commission through the EUMSSI project, under the contract number 611057, in the framework of the FP7-ICT-2013-10 call, by the French National Research Agency (ANR) through the VERA project, under the contract number ANR-12-BS02-006-01, and by the Région Pays de la Loire.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sloetjes-wittenburg-2008-annotation
http://www.lrec-conf.org/proceedings/lrec2008/pdf/208_paper.pdf
Annotation by Category: ELAN and ISO DCR
The Data Category Registry is one of the ISO initiatives towards the establishment of standards for Language Resource management, creation and coding. Successful application of the DCR depends on the availability of tools that can interact with it. This paper describes the first steps that have been taken to provide us...
false
[]
[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wan-etal-2018-ibm
https://aclanthology.org/K18-2009
IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing
This paper presents the IBM Research AI submission to the CoNLL 2018 Shared Task on Parsing Universal Dependencies. Our system implements a new joint transition-based parser, based on the Stack-LSTM framework and the Arc-Standard algorithm, that handles tokenization, part-of-speech tagging, morphological tagging and de...
false
[]
[]
null
null
null
We thank Radu Florian, Todd Ward and Salim Roukos for useful discussions.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vincze-etal-2010-hungarian
http://www.lrec-conf.org/proceedings/lrec2010/pdf/465_Paper.pdf
Hungarian Dependency Treebank
Herein, we present the process of developing the first Hungarian Dependency TreeBank. First, short references are made to dependency grammars we considered important in the development of our Treebank. Second, mention is made of existing dependency corpora for other languages. Third, we present the steps of converting ...
false
[]
[]
null
null
null
The research was -in part -supported by NKTH within the framework of TUDORKA and MASZEKER projects (Ányos Jedlik programs).
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
marasovic-etal-2020-natural
https://aclanthology.org/2020.findings-emnlp.253
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
Natural language rationales could provide intuitive, higher-level explanations that are easily understandable by humans, complementing the more broadly studied lower-level explanations based on gradients or attention weights. We present the first study focused on generating natural language rationales across several co...
false
[]
[]
null
null
null
The authors thank Sarah Pratt for her assistance with the grounded situation recognizer, Amandalynne Paullada, members of the AllenNLP team, and anonymous reviewers for helpful feedback.This research was supported in part by NSF (IIS1524371, IIS-1714566), DARPA under the CwC program through the ARO (W911NF-15-1-0543), ...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rei-etal-2018-scoring
https://aclanthology.org/P18-2101
Scoring Lexical Entailment with a Supervised Directional Similarity Network
We present the Supervised Directional Similarity Network (SDSN), a novel neural architecture for learning task-specific transformation functions on top of generalpurpose word embeddings. Relying on only a limited amount of supervision from task-specific scores on a subset of the vocabulary, our architecture is able to ...
false
[]
[]
null
null
null
Daniela Gerz and Ivan Vulić are supported by the ERC Consolidator Grant LEXICAL: Lexical Acquisition Across Languages (no 648909). We would like to thank the NVIDIA Corporation for the donation of the Titan GPU that was used for this research.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lai-pustejovsky-2019-dynamic
https://aclanthology.org/W19-0601
A Dynamic Semantics for Causal Counterfactuals
Under the standard approach to counterfactuals, to determine the meaning of a counterfactual sentence, we consider the "closest" possible world(s) where the antecedent is true, and evaluate the consequent. Building on the standard approach, some researchers have found that the set of worlds to be considered is dependen...
false
[]
[]
null
null
null
We would like to thank the reviewers for their helpful comments.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-duh-2021-approaching
https://aclanthology.org/2021.mtsummit-at4ssl.7
Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task
A cascaded Sign Language Translation system first maps sign videos to gloss annotations and then translates glosses into a spoken languages. This work focuses on the second-stage gloss translation component, which is challenging due to the scarcity of publicly available parallel data. We approach gloss translation as a...
true
[]
[]
Reduced Inequalities
null
null
null
2021
false
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
sha-2020-gradient
https://aclanthology.org/2020.emnlp-main.701
Gradient-guided Unsupervised Lexically Constrained Text Generation
Lexically-constrained generation requires the target sentence to satisfy some lexical constraints, such as containing some specific words or being the paraphrase to a given sentence, which is very important in many real-world natural language generation applications. Previous works usually apply beamsearch-based method...
false
[]
[]
null
null
null
We would like to thank the three anonymous reviewers and the anonymous meta-reviewer for so many good suggestions.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
freitag-2004-toward
https://aclanthology.org/C04-1052
Toward Unsupervised Whole-Corpus Tagging
null
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
medlock-2006-introduction
http://www.lrec-conf.org/proceedings/lrec2006/pdf/200_pdf.pdf
An Introduction to NLP-based Textual Anonymisation
We introduce the problem of automatic textual anonymisation and present a new publicly-available, pseudonymised benchmark corpus of personal email text for the task, dubbed ITAC (Informal Text Anonymisation Corpus). We discuss the method by which the corpus was constructed, and consider some important issues related to...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
raybaud-etal-2011-broadcast
https://aclanthology.org/2011.mtsummit-systems.3
Broadcast news speech-to-text translation experiments
We present S2TT, an integrated speech-totext translation system based on POCKET-SPHINX and MOSES. It is compared to different baselines based on ANTS-the broadcast news transcription system developed at LORIA's Speech group, MOSES and Google's translation tools. A small corpus of reference transcriptions of broadcast n...
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mctait-etal-1999-building
https://aclanthology.org/1999.tc-1.11
A Building Blocks Approach to Translation Memory
Traditional Translation Memory systems that find the best match between a SL input sentence and SL sentences in a database of previously translated sentences are not ideal. Studies in the cognitive processes underlying human translation reveal that translators very rarely process SL text at the level of the sentence. T...
false
[]
[]
null
null
null
null
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pinnis-etal-2018-tilde
https://aclanthology.org/L18-1214
Tilde MT Platform for Developing Client Specific MT Solutions
In this paper, we present Tilde MT, a custom machine translation (MT) platform that provides linguistic data storage (parallel, monolingual corpora, multilingual term collections), data cleaning and normalisation, statistical and neural machine translation system training and hosting functionality, as well as wide inte...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
null
2018
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
yang-etal-2014-joint
https://aclanthology.org/D14-1071
Joint Relational Embeddings for Knowledge-based Question Answering
Transforming a natural language (NL) question into a corresponding logical form (LF) is central to the knowledge-based question answering (KB-QA) task. Unlike most previous methods that achieve this goal based on mappings between lexicalized phrases and logical predicates, this paper goes one step further and proposes ...
false
[]
[]
null
null
null
null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dziob-etal-2019-plwordnet
https://aclanthology.org/2019.gwc-1.45
plWordNet 4.1 - a Linguistically Motivated, Corpus-based Bilingual Resource
The paper presents the latest release of the Polish WordNet, namely plWord-Net 4.1. The most significant developments since 3.0 version include new relations for nouns and verbs, mapping semantic role-relations from the valency lexicon Walenty onto the plWord-Net structure and sense-level interlingual mapping. Several ...
false
[]
[]
null
null
null
The work co-financed as part of the investment in the CLARIN-PL research infrastructure funded by the Polish Ministry of Science and Higher Education and the project funded by the National Science Centre, Poland under the grant agreement No UMO-2015/18/M/HS2/00100.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lin-eisner-2018-neural
https://aclanthology.org/N18-1085
Neural Particle Smoothing for Sampling from Conditional Sequence Models
We introduce neural particle smoothing, a sequential Monte Carlo method for sampling annotations of an input string from a given probability model. In contrast to conventional particle filtering algorithms, we train a proposal distribution that looks ahead to the end of the input string by means of a right-to-left LSTM...
false
[]
[]
null
null
null
This work has been generously supported by a Google Faculty Research Award and by Grant No. 1718846 from the National Science Foundation.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kupsc-etal-2004-pronominal
http://www.lrec-conf.org/proceedings/lrec2004/pdf/671.pdf
Pronominal Anaphora Resolution for Unrestricted Text
The paper presents an anaphora resolution algorithm for unrestricted text. In particular, we examine portability of a knowledge-based approach of (Mitamura et al., 2002), proposed for a domain-specific task. We obtain up to 70% accuracy on unrestricted text, which is a significant improvement (almost 20%) over a baseli...
false
[]
[]
null
null
null
This work was supported in part by the Advanced Research and Development Activity (ARDA) under AQUAINT contract MDA904-01-C-0988. We would like to thank Curtis Huttenhower, for his work on integrating the tools we used for text analysis, as well as three anonymous reviewers and Adam Przepiórkowski for useful comments o...
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aizawa-2002-method
https://aclanthology.org/C02-1045
A Method of Cluster-Based Indexing of Textual Data
This paper presents a framework for clustering in text-based information retrieval systems. The prominent feature of the proposed method is that documents, terms, and other related elements of textual information are clustered simultaneously into small overlapping clusters. In the paper, the mathematical formulation an...
false
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[]
null
null
null
null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
xanthos-etal-2006-exploring
https://aclanthology.org/W06-3205
Exploring variant definitions of pointer length in MDL
Within the information-theoretical framework described by (Rissanen, 1989; de Marcken, 1996; Goldsmith, 2001), pointers are used to avoid repetition of phonological material. Work with which we are familiar has assumed that there is only one way in which items could be pointed to. The purpose of this paper is to descri...
false
[]
[]
null
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null
This research was supported by a grant of the Swiss National Science Foundation to the first author.
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
biggins-etal-2012-university
https://aclanthology.org/S12-1097
University\_Of\_Sheffield: Two Approaches to Semantic Text Similarity
This paper describes the University of Sheffield's submission to SemEval-2012 Task 6: Semantic Text Similarity. Two approaches were developed. The first is an unsupervised technique based on the widely used vector space model and information from WordNet. The second method relies on supervised machine learning and repr...
false
[]
[]
null
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null
This research has been supported by a Google Research Award.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gavrila-etal-2012-domain
http://www.lrec-conf.org/proceedings/lrec2012/pdf/1003_Paper.pdf
Same domain different discourse style - A case study on Language Resources for data-driven Machine Translation
Data-driven machine translation (MT) approaches became very popular during last years, especially for language pairs for which it is difficult to find specialists to develop transfer rules. Statistical (SMT) or example-based (EBMT) systems can provide reasonable translation quality for assimilation purposes, as long as...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
veaux-etal-2013-towards
https://aclanthology.org/W13-3917
Towards Personalised Synthesised Voices for Individuals with Vocal Disabilities: Voice Banking and Reconstruction
When individuals lose the ability to produce their own speech, due to degenerative diseases such as motor neurone disease (MND) or Parkinson's, they lose not only a functional means of communication but also a display of their individual and group identity. In order to build personalized synthetic voices, attempts have...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lange-ljunglof-2018-demonstrating
https://aclanthology.org/W18-7105
Demonstrating the MUSTE Language Learning Environment
We present a language learning application that relies on grammars to model the learning outcome. Based on this concept we can provide a powerful framework for language learning exercises with an intuitive user interface and a high reliability. Currently the application aims to augment existing language classes and sup...
true
[]
[]
Quality Education
null
null
null
2018
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
von-glasersfeld-1974-yerkish
https://aclanthology.org/J74-3007
The Yerkish Language for Non-Human Primates
null
false
[]
[]
null
null
null
null
1974
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
dinu-etal-2017-stylistic
https://doi.org/10.26615/978-954-452-049-6_028
On the stylistic evolution from communism to democracy: Solomon Marcus study case
null
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
mckeown-2006-lessons
https://aclanthology.org/W06-1401
Lessons Learned from Large Scale Evaluation of Systems that Produce Text: Nightmares and Pleasant Surprises
As the language generation community explores the possibility of an evaluation program for language generation, it behooves us to examine our experience in evaluation of other systems that produce text as output. Large scale evaluation of summarization systems and of question answering systems has been carried out for ...
false
[]
[]
null
null
null
This material is based upon work supported in part by the ARDA AQUAINT program (Contract No. MDA908-02-C-0008 and Contract No. NBCHC040040) and the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-06-C-0023 and Contract No. N66001-00-1-8919. Any opinions, findings and conclusions or recommend...
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hambardzumyan-etal-2021-warp
https://aclanthology.org/2021.acl-long.381
WARP: Word-level Adversarial ReProgramming
Transfer learning from pretrained language models recently became the dominant approach for solving many NLP tasks. A common approach to transfer learning for multiple tasks that maximize parameter sharing trains one or more task-specific layers on top of the language model. In this paper, we present an alternative app...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
funakoshi-etal-2009-probabilistic
https://aclanthology.org/W09-0634
A Probabilistic Model of Referring Expressions for Complex Objects
This paper presents a probabilistic model both for generation and understanding of referring expressions. This model introduces the concept of parts of objects, modelling the necessity to deal with the characteristics of separate parts of an object in the referring process. This was ignored or implicit in previous lite...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
edunov-etal-2019-pre
https://aclanthology.org/N19-1409
Pre-trained language model representations for language generation
Pre-trained language model representations have been successful in a wide range of language understanding tasks. In this paper, we examine different strategies to integrate pretrained representations into sequence to sequence models and apply it to neural machine translation and abstractive summarization. We find that ...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2015-tree
https://aclanthology.org/D15-1278
When Are Tree Structures Necessary for Deep Learning of Representations?
Recursive neural models, which use syntactic parse trees to recursively generate representations bottom-up, are a popular architecture. However there have not been rigorous evaluations showing for exactly which tasks this syntax-based method is appropriate. In this paper, we benchmark recursive neural models against se...
false
[]
[]
null
null
null
We would especially like to thank Richard Socher and Kai-Sheng Tai for insightful comments, advice, and suggestions. We would also like to thank Sam Bowman, Ignacio Cases, Jon Gauthier, Kevin Gu, Gabor Angeli, Sida Wang, Percy Liang and other members of the Stanford NLP group, as well as the anonymous reviewers for the...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chatterjee-etal-2017-textual
https://aclanthology.org/W17-7506
Textual Relations and Topic-Projection: Issues in Text Categorization
Categorization of text is done on the basis of its aboutness. Understanding what a text is about often involves a subjective dimension. Developments in linguistics, however, can provide some important insights about what underlies the process of text categorization in general and topic spotting in particular. More spec...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ostling-etal-2013-automated
https://aclanthology.org/W13-1705
Automated Essay Scoring for Swedish
We present the first system developed for automated grading of high school essays written in Swedish. The system uses standard text quality indicators and is able to compare vocabulary and grammar to large reference corpora of blog posts and newspaper articles. The system is evaluated on a corpus of 1 702 essays, each ...
true
[]
[]
Quality Education
null
null
We would like to thank the anonymous reviewers for their useful comments.
2013
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
dwivedi-shrivastava-2017-beyond
https://aclanthology.org/W17-7526
Beyond Word2Vec: Embedding Words and Phrases in Same Vector Space
Word embeddings are being used for several linguistic problems and NLP tasks. Improvements in solutions to such problems are great because of the recent breakthroughs in vector representation of words and research in vector space models. However, vector embeddings of phrases keeping semantics intact with words has been...
false
[]
[]
null
null
null
We would like to thank Naveen Kumar Laskari for discussions during the course of this work and Pruthwik Mishra and Saurav Jha for their valuable suggestions.
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sankepally-oard-2018-initial
https://aclanthology.org/L18-1328
An Initial Test Collection for Ranked Retrieval of SMS Conversations
This paper describes a test collection for evaluating systems that search English SMS (Short Message Service) conversations. The collection is built from about 120,000 text messages. Topic development involved identifying typical types of information needs, then generating topics of each type for which relevant content...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lin-etal-2012-combining
https://aclanthology.org/P12-1106
Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
An ideal summarization system should produce summaries that have high content coverage and linguistic quality. Many state-ofthe-art summarization systems focus on content coverage by extracting content-dense sentences from source articles. A current research focus is to process these sentences so that they read fluentl...
false
[]
[]
null
null
null
This research is supported by the Singapore National Research Foundation under its International Research Centre @ Singapore Funding Initiative and administered by the IDM Programme Office.3 Our metrics are publicly available at http://wing. comp.nus.edu.sg/˜linzihen/summeval/.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
abu-jbara-radev-2011-clairlib
https://aclanthology.org/P11-4021
Clairlib: A Toolkit for Natural Language Processing, Information Retrieval, and Network Analysis
In this paper we present Clairlib, an opensource toolkit for Natural Language Processing, Information Retrieval, and Network Analysis. Clairlib provides an integrated framework intended to simplify a number of generic tasks within and across those three areas. It has a command-line interface, a graphical interface, and...
false
[]
[]
null
null
null
We would like to thank Mark Hodges, Anthony Fader, Mark Joseph, Joshua Gerrish, Mark Schaller, Jonathan dePeri, Bryan Gibson, Chen Huang, Arzucan Ozgur, and Prem Ganeshkumar who contributed to the development of Clairlib.This work was supported in part by grants R01-LM008106 and U54-DA021519 from the US National Instit...
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yu-etal-2013-candidate
https://aclanthology.org/W13-4420
Candidate Scoring Using Web-Based Measure for Chinese Spelling Error Correction
Chinese character correction involves two major steps: 1) Providing candidate corrections for all or partially identified characters in a sentence, and 2) Scoring all altered sentences and identifying which is the best corrected sentence. In this paper a web-based measure is used to score candidate sentences, in which ...
false
[]
[]
null
null
null
This work was supported by National Science Council (NSC), Taiwan, under Contract number: 102-2221-E-155-029-MY3.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ishiwatari-etal-2017-chunk
https://aclanthology.org/P17-1174
Chunk-based Decoder for Neural Machine Translation
Chunks (or phrases) once played a pivotal role in machine translation. By using a chunk rather than a word as the basic translation unit, local (intrachunk) and global (inter-chunk) word orders and dependencies can be easily modeled. The chunk structure, despite its importance, has not been considered in the decoders u...
false
[]
[]
null
null
null
This research was partially supported by the Research and Development on Real World Big Data Integration and Analysis program of the Ministry of Education, Culture, Sports, Science and Technology (MEXT) and RIKEN, Japan, and by the Chinese National Research Fund (NSFC) Key Project No. 61532013 and National China 973 Pr...
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wood-doughty-etal-2018-challenges
https://aclanthology.org/D18-1488
Challenges of Using Text Classifiers for Causal Inference
Causal understanding is essential for many kinds of decision-making, but causal inference from observational data has typically only been applied to structured, low-dimensional datasets. While text classifiers produce low-dimensional outputs, their use in causal inference has not previously been studied. To facilitate ...
false
[]
[]
null
null
null
This work was in part supported by the National Institute of General Medical Sciences under grant number 5R01GM114771 and by the National Institute of Allergy and Infectious Diseases under grant number R01 AI127271-01A1. We thank the anonymous reviewers for their helpful comments.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sawhney-etal-2021-multimodal
https://aclanthology.org/2021.acl-long.526
Multimodal Multi-Speaker Merger \& Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines
Risk prediction is an essential task in financial markets. Merger and Acquisition (M&A) calls provide key insights into the claims made by company executives about the restructuring of the financial firms. Extracting vocal and textual cues from M&A calls can help model the risk associated with such financial activities...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kordjamshidi-etal-2017-spatial
https://aclanthology.org/W17-4306
Spatial Language Understanding with Multimodal Graphs using Declarative Learning based Programming
This work is on a previously formalized semantic evaluation task of spatial role labeling (SpRL) that aims at extraction of formal spatial meaning from text. Here, we report the results of initial efforts towards exploiting visual information in the form of images to help spatial language understanding. We discuss the ...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
linde-goguen-1980-independence
https://aclanthology.org/P80-1010
On the Independence of Discourse Structure and Semantic Domain
Traditionally, linguistics has been concerned with units at the level of the sentence or below, but recently, a body of research has emerged which demonstrates the existence and organization of linguistic units larger than the sentence. (Chafe, 1974; Goguen, Linde, and Weiner, to appear; Grosz, 1977; Halliday and Hasan...
false
[]
[]
null
null
null
We would like to thank R. M. Burstall and James Weiner for their help throughout much of the work reported in this paper. We owe our approach to discourse analysis to the work of William Labor, and our basic orientation to Chogyam Trungpa, Rinp~che.
1980
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bohan-etal-2000-evaluating
http://www.lrec-conf.org/proceedings/lrec2000/pdf/136.pdf
Evaluating Translation Quality as Input to Product Development
In this paper we present a corpus-based method to evaluate the translation quality of machine translation (MT) systems. We start with a shallow analysis of a large corpus and gradually focus the attention on the translation problems. The method constitutes an efficient way to identify the most important grammatical and...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
burchardt-etal-2008-formalising
https://aclanthology.org/I08-1051
Formalising Multi-layer Corpora in OWL DL - Lexicon Modelling, Querying and Consistency Control
We present a general approach to formally modelling corpora with multi-layered annotation, thereby inducing a lexicon model in a typed logical representation language, OWL DL. This model can be interpreted as a graph structure that offers flexible querying functionality beyond current XML-based query languages and powe...
false
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[]
null
null
null
This work has been partly funded by the German Research Foundation DFG (grant PI 154/9-2). We also thank the two anonymous reviewers for their valuable comments and suggestions.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
meiby-1996-building
https://aclanthology.org/1996.tc-1.17
Building Machine Translation on a firm foundation
Professor Alan K. Melby, Brigham Young University at Provo, USA SYNOPSIS How can we build the next generation of machine translation systems on a firm foundation? We should build on the current generation of systems by incorporating proven technology. That is, we should emphasize indicative-quality translation where ap...
false
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[]
null
null
null
null
1996
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
stanovsky-tamari-2019-yall
https://aclanthology.org/D19-5549
Y'all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts
Distinguishing between singular and plural "you" in English is a challenging task which has potential for downstream applications, such as machine translation or coreference resolution. While formal written English does not distinguish between these cases, other languages (such as Spanish), as well as other dialects of...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their many helpful comments and suggestions.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tan-bansal-2019-lxmert
https://aclanthology.org/D19-1514
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Vision-and-language reasoning requires an understanding of visual concepts, language semantics, and, most importantly, the alignment and relationships between these two modalities. We thus propose the LXMERT (Learning Cross-Modality Encoder Representations from Transformers) framework to learn these vision-and-language...
false
[]
[]
null
null
null
We thank the reviewers for their helpful comments. This work was supported by ARO-YIP Award #W911NF-18-1-0336, and awards from Google, Facebook, Salesforce, and Adobe. The views, opinions, and/or findings contained in this article are those of the authors and should not be interpreted as representing the official views...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
riedl-biemann-2013-scaling
https://aclanthology.org/D13-1089
Scaling to Large\mbox$^3$ Data: An Efficient and Effective Method to Compute Distributional Thesauri
We introduce a new highly scalable approach for computing Distributional Thesauri (DTs). By employing pruning techniques and a distributed framework, we make the computation for very large corpora feasible on comparably small computational resources. We demonstrate this by releasing a DT for the whole vocabulary of Goo...
false
[]
[]
null
null
null
This work has been supported by the Hessian research excellence program "Landes-Offensive zur Entwicklung Wissenschaftlich-konomischer Exzellenz" (LOEWE) as part of the research center "Digital Humanities". We would also thank the anonymous reviewers for their comments, which greatly helped to improve the paper.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
blaschke-etal-2020-cyberwalle
https://aclanthology.org/2020.semeval-1.192
CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection
This paper describes our participation in the SemEval-2020 task Detection of Propaganda Techniques in News Articles. We participate in both subtasks: Span Identification (SI) and Technique Classification (TC). We use a bi-LSTM architecture in the SI subtask and train a complex ensemble model for the TC subtask. Our arc...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
We thank Dr. Ç agrı Çöltekin for useful discussions and his guidance throughout this project.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
agirre-etal-2013-ubc
https://aclanthology.org/S13-1018
UBC\_UOS-TYPED: Regression for typed-similarity
We approach the typed-similarity task using a range of heuristics that rely on information from the appropriate metadata fields for each type of similarity. In addition we train a linear regressor for each type of similarity. The results indicate that the linear regression is key for good performance. Our best system w...
false
[]
[]
null
null
null
This work is partially funded by the PATHS project (http://paths-project.eu) funded by the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 270082. Aitor Gonzalez-Agirre is supported by a PhD grant from the Spanish Ministry of Education, Culture and Sport (grant FPU12/06243).
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
cai-etal-2017-crf
https://aclanthology.org/D17-1171
CRF Autoencoder for Unsupervised Dependency Parsing
Unsupervised dependency parsing, which tries to discover linguistic dependency structures from unannotated data, is a very challenging task. Almost all previous work on this task focuses on learning generative models. In this paper, we develop an unsupervised dependency parsing model based on the CRF autoencoder. The e...
false
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[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2016-learning
https://aclanthology.org/C16-1136
Learning Event Expressions via Bilingual Structure Projection
Identifying events of a specific type is a challenging task as events in texts are described in numerous and diverse ways. Aiming to resolve high complexities of event descriptions, previous work (Huang and Riloff, 2013) proposes multi-faceted event recognition and a bootstrapping method to automatically acquire both e...
false
[]
[]
null
null
null
The authors were supported by National Natural Science Foundation of China (Grant Nos. 61403269, 61432013 and 61525205) and Natural Science Foundation of Jiangsu Province (Grant No. BK20140355). This research was also partially supported by Ruihong Huang's startup funds in Texas A&M University. We also thank the anonym...
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-chan-2012-role
https://aclanthology.org/Y12-1069
The Role of Qualia Structure in Mandarin Children Acquiring Noun-modifying Constructions
This paper investigates the types and the developmental trajectory of noun modifying constructions (NMCs), in the form of [Modifier + de + (Noun)], attested in Mandarin-speaking children's speech from a semantic perspective based on the generative lexicon framework (Pustejovsky, 1995). Based on 1034 NMCs (including tho...
true
[]
[]
Quality Education
null
null
null
2012
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
kim-etal-2018-modeling
https://aclanthology.org/C18-1235
Modeling with Recurrent Neural Networks for Open Vocabulary Slots
Dealing with 'open-vocabulary' slots has been among the challenges in the natural language area. While recent studies on attention-based recurrent neural network (RNN) models have performed well in completing several language related tasks such as spoken language understanding and dialogue systems, there has been a lac...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hogenhout-matsumoto-1997-preliminary
https://aclanthology.org/W97-1003
A Preliminary Study of Word Clustering Based on Syntactic Behavior
We show how a treebank can be used to cluster words on the basis of their syntactic behavior. The resulting clusters represent distinct types of behavior with much more precision than parts of speech. As an example we show how prepositions can be automatically subdivided by their syntactic behavior and discuss the appr...
false
[]
[]
null
null
null
We would like to express our appreciation to the anonymous reviewers who have provided many valuable comments and criticisms.
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shilen-wilson-2022-learning
https://aclanthology.org/2022.scil-1.26
Learning Input Strictly Local Functions: Comparing Approaches with Catalan Adjectives
Input strictly local (ISL) functions are a class of subregular transductions that have well-understood mathematical and computational properties and that are sufficiently expressive to account for a wide variety of attested morphological and phonological patterns (e.g., Chandlee, 2014; Chandlee, 2017; . In this study, ...
false
[]
[]
null
null
null
Thanks to Coleman Haley and Marina Bedny for helpful discussion of this research, which was supported by NSF grant BCS-1941593 to CW.
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2019-building
https://aclanthology.org/2019.lilt-18.2
Building a Chinese AMR Bank with Concept and Relation Alignments
Meaning Representation (AMR) is a meaning representation framework in which the meaning of a full sentence is represented as a single-rooted, acyclic, directed graph. In this article, we describe an ongoing project to build a Chinese AMR (CAMR) corpus, which currently includes 10,149 sentences from the newsgroup and we...
false
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[]
null
null
null
This work is the staged achievement of the projects supported by National Social Science Foundation of China (18BYY127) and National Science Foundation of China (61772278).
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
proux-etal-2009-natural
https://aclanthology.org/W09-4506
Natural Language Processing to Detect Risk Patterns Related to Hospital Acquired Infections
Hospital Acquired Infections (HAI) has a major impact on public health and on related healthcare cost. HAI experts are fighting against this issue but they are struggling to access data. Information systems in hospitals are complex, highly heterogeneous, and generally not convenient to perform a real time surveillance....
true
[]
[]
Good Health and Well-Being
null
null
null
2009
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kron-etal-2007-development
https://aclanthology.org/W07-1807
A Development Environment for Building Grammar-Based Speech-Enabled Applications
We present a development environment for Regulus, a toolkit for building unification grammar-based speech-enabled systems, focussing on new functionality added over the last year. In particular, we will show an initial version of a GUI-based top-level for the development environment, a tool that supports graphical debu...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jones-thompson-2003-identifying
https://aclanthology.org/W03-0418
Identifying Events using Similarity and Context
As part of our work on automatically building knowledge structures from text, we apply machine learning to determine which clauses from multiple narratives describing similar situations should be grouped together as descriptions of the same type of occurrence. Our approach to the problem uses textual similarity and con...
false
[]
[]
null
null
null
We would like to thank Robert Cornell and Donald Jones for evaluating our system.
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kwon-etal-2013-bilingual
https://aclanthology.org/W13-2502
Bilingual Lexicon Extraction via Pivot Language and Word Alignment Tool
This paper presents a simple and effective method for automatic bilingual lexicon extraction from less-known language pairs. To do this, we bring in a bridge language named the pivot language and adopt information retrieval techniques combined with natural language processing techniques. Moreover, we use a freely avail...
false
[]
[]
null
null
null
This work was supported by the Korea Ministry of Knowledge Economy (MKE) under Grant No.10041807
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yuste-rodrigo-braun-chen-2001-comparative
https://aclanthology.org/2001.mtsummit-eval.12
Comparative evaluation of the linguistic output of MT systems for translation and information purposes
This paper describes a Machine Translation (MT) evaluation experiment where emphasis is placed on the quality of output and the extent to which it is geared to different users' needs. Adopting a very specific scenario, that of a multilingual international organisation, a clear distinction is made between two user class...
false
[]
[]
null
null
null
null
2001
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mayfield-etal-1995-concept
https://aclanthology.org/1995.tmi-1.15
Concept-Based Parsing For Speech Translation
As part of the JANUS speech-to-speech translation project[5], we have developed a translation system that successfully parses full utterances and is effective in parsing spontaneous speech, which is often syntactically ill-formed. The system is concept-based, meaning that it has no explicit notion of a sentence but rat...
false
[]
[]
null
null
null
null
1995
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
clark-2021-strong
https://aclanthology.org/2021.scil-1.47
Strong Learning of Probabilistic Tree Adjoining Grammars
In this abstract we outline some theoretical work on the probabilistic learning of a representative mildly context-sensitive grammar formalism from positive examples only. In a recent paper, Clark and Fijalkow (2020) (CF from now on) present a consistent unsupervised learning algorithm for probabilistic context-free gr...
false
[]
[]
null
null
null
I would like to thank Ryo Yoshinaka; and the reviewers for comments on the paper of which this is an extended abstract.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wu-fung-2005-inversion
https://aclanthology.org/I05-1023
Inversion Transduction Grammar Constraints for Mining Parallel Sentences from Quasi-Comparable Corpora
We present a new implication of Wu's (1997) Inversion Transduction Grammar (ITG) Hypothesis, on the problem of retrieving truly parallel sentence translations from large collections of highly non-parallel documents. Our approach leverages a strong language universal constraint posited by the ITG Hypothesis, that can se...
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vijay-shanker-1992-using
https://aclanthology.org/J92-4004
Using Descriptions of Trees in a Tree Adjoining Grammar
This paper describes a new interpretation of Tree Adjoining Grammars (TAG) that allows the embedding of TAG in the unification framework in a manner consistent with the declarative approach taken in this framework. In the new interpretation we present in this paper, the objects manipulated by a TAG are considered to be...
false
[]
[]
null
null
null
This work was partially supported by NSF grant IRI-9016591. I am extremely grateful to A. AbeiUe, A. K. Joshi, A. Kroch, K. E McCoy, Y. Schabes, S. M. Shieber, and D. J. Weir. Their suggestions and comments at various stages have played a substantial role in the development of this work. I am thankful to the reviewers ...
1992
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
bangalore-etal-2012-real
https://aclanthology.org/N12-1048
Real-time Incremental Speech-to-Speech Translation of Dialogs
In a conventional telephone conversation between two speakers of the same language, the interaction is real-time and the speakers process the information stream incrementally. In this work, we address the problem of incremental speech-to-speech translation (S2S) that enables cross-lingual communication between two remo...
false
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[]
null
null
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null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
karlsson-1990-constraint
https://aclanthology.org/C90-3030
Constraint Grammar as a Framework for Parsing Running Text
Grammars which are used in parsers are often directly imported from autonomous grammar theory and descriptive practice that were not exercised for the explicit purpose of parsing. Parsers have been designed for English based on e.g. Government and Binding Theory, Generalized Phrase Structure Grammar, and LexicaI-Functi...
false
[]
[]
null
null
null
This research was supported by the Academy of Finland in 1985-89, and by the Technology Development Centre of Finland (TEKES) in 1989-90. Part of it belongs to the ESPRIT II project SIMPR (2083). I am indebted to Kimmo Koskenniemi for help in the field of morphological analysis, and to Atro Voutilainen, Juha Heikkil~, ...
1990
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schlor-etal-2020-improving
https://aclanthology.org/2020.onion-1.5
Improving Sentiment Analysis with Biofeedback Data
Humans frequently are able to read and interpret emotions of others by directly taking verbal and non-verbal signals in human-to-human communication into account or to infer or even experience emotions from mediated stories. For computers, however, emotion recognition is a complex problem: Thoughts and feelings are the...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhao-ng-2007-identification
https://aclanthology.org/D07-1057
Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach
In this paper, we present a machine learning approach to the identification and resolution of Chinese anaphoric zero pronouns. We perform both identification and resolution automatically, with two sets of easily computable features. Experimental results show that our proposed learning approach achieves anaphoric zero p...
false
[]
[]
null
null
null
We thank Susan Converse and Martha Palmer for sharing their Chinese third-person pronoun and zero pronoun coreference corpus.
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
shen-etal-2004-discriminative
https://aclanthology.org/N04-1023
Discriminative Reranking for Machine Translation
This paper describes the application of discriminative reranking techniques to the problem of machine translation. For each sentence in the source language, we obtain from a baseline statistical machine translation system, a rankedbest list of candidate translations in the target language. We introduce two novel percep...
false
[]
[]
null
null
null
This material is based upon work supported by the National Science Foundation under Grant No. 0121285. The first author was partially supported by JHU postworkshop fellowship and NSF Grant ITR-0205456. The second author is partially supported by NSERC, Canada (RGPIN: 264905). We thank the members of the SMT team of JHU...
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sharifi-atashgah-bijankhan-2009-corpus
https://aclanthology.org/2009.mtsummit-caasl.11
Corpus-based Analysis for Multi-token Units in Persian
Morphological and syntactic annotation of multi-token units confront several problems due to the concatenating nature of Persian script and so its orthographic variation. In the present paper, by the analysis of the different collocation types of the tokens, the compositional, non-compositional and semicompositional co...
false
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[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mowery-etal-2012-medical
https://aclanthology.org/W12-2407
Medical diagnosis lost in translation -- Analysis of uncertainty and negation expressions in English and Swedish clinical texts
In the English clinical and biomedical text domains, negation and certainty usage are two well-studied phenomena. However, few studies have made an in-depth characterization of uncertainties expressed in a clinical setting, and compared this between different annotation efforts. This preliminary, qualitative study atte...
true
[]
[]
Good Health and Well-Being
null
null
For the English and Swedish data sets, we obtained approval from the University of Pittsburgh IRB and the Regional Ethical Review Board in Stockholm (Etikprövningsnämnden i Stockholm). The study is part of the Interlock project, funded by the Stockholm University Academic Initiative and partially funded by NLM Fellowsh...
2012
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
baldwin-etal-2003-alias
https://aclanthology.org/N03-4002
Alias-i Threat Trackers
Alias-i ThreatTrackers are an advanced information access application designed around the needs of analysts working through a large daily data feed. ThreatTrackers help analysts decompose an information gathering topic like the unfolding political situation in Iraq into specifications including people, places, organiza...
true
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[]
Peace, Justice and Strong Institutions
null
null
null
2003
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
bernier-colborne-etal-2021-n
https://aclanthology.org/2021.vardial-1.15
N-gram and Neural Models for Uralic Language Identification: NRC at VarDial 2021
We describe the systems developed by the National Research Council Canada for the Uralic language identification shared task at the 2021 VarDial evaluation campaign. We evaluated two different approaches to this task: a probabilistic classifier exploiting only character 5grams as features, and a character-based neural ...
false
[]
[]
null
null
null
We thank the organizers for their work developing and running this shared task.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
soundrarajan-etal-2011-interface
https://aclanthology.org/P11-4024
An Interface for Rapid Natural Language Processing Development in UIMA
This demonstration presents the Annotation Librarian, an application programming interface that supports rapid development of natural language processing (NLP) projects built in Apache Unstructured Information Management Architecture (UIMA). The flexibility of UIMA to support all types of unstructured data-images, audi...
false
[]
[]
null
null
null
This work was supported using resources and facilities at the VA Salt Lake City Health Care System with funding support from the VA Informatics and Computing Infrastructure (VINCI), VA HSR HIR 08-204 and the Consortium for Healthcare Informatics Research (CHIR), VA HSR HIR 08-374. Views expressed are those of the autho...
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
buechel-etal-2016-enterprises
https://aclanthology.org/W16-0423
Do Enterprises Have Emotions?
Emotional language of human individuals has been studied for quite a while dealing with opinions and value judgments people have and share with others. In our work, we take a different stance and investigate whether large organizations, such as major industrial players, have and communicate emotions, as well. Such an a...
true
[]
[]
Industry, Innovation and Infrastructure
Decent Work and Economic Growth
null
null
2016
false
false
false
false
false
false
false
true
true
false
false
false
false
false
false
false
false
ws-2007-biological
https://aclanthology.org/W07-1000
Biological, translational, and clinical language processing
Biological, translational, and clinical language processing K. BRETONNEL COHEN, DINA DEMNER-FUSHMAN, CAROL FRIEDMAN, LYNETTE HIRSCHMAN, AND JOHN P. PESTIAN Natural language processing has a long history in the medical domain, with research in the field dating back to at least the early 1960s. In the late 1990s, a separ...
true
[]
[]
Good Health and Well-Being
null
null
null
2007
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
erjavec-etal-2004-making
http://www.lrec-conf.org/proceedings/lrec2004/pdf/107.pdf
Making an XML-based Japanese-Slovene Learners' Dictionary
In this paper we present a hypertext dictionary of Japanese lexical units for Slovene students of Japanese at the Faculty of Arts of Ljubljana University. The dictionary is planned as a long-term project in which a simple dictionary is to be gradually enlarged and enhanced, taking into account the needs of the students...
true
[]
[]
Quality Education
null
null
null
2004
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
hintz-2016-data
https://aclanthology.org/N16-2006
Data-driven Paraphrasing and Stylistic Harmonization
This thesis proposal outlines the use of unsupervised data-driven methods for paraphrasing tasks. We motivate the development of knowledge-free methods at the guiding use case of multi-document summarization, which requires a domain-adaptable system for both the detection and generation of sentential paraphrases. First...
false
[]
[]
null
null
null
This work has been supported by the German Research Foundation as part of the Research Training Group "Adaptive Preparation of Information from Heterogeneous Sources" (AIPHES) under grant No. GRK 1994/1.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lenci-etal-1999-fame
https://aclanthology.org/W99-0407
FAME: a Functional Annotation Meta-scheme for multi-modal and multi-lingual Parsing Evaluation
The paper describes FAME, a functional annotation meta-scheme for comparison and evaluation of existing syntactic annotation schemes, intended to be used as a flexible yardstick in multilingual and multi-modal parser evaluation campaigns. We show that FAME complies with a variety of non-trivial methodological requireme...
false
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[]
null
null
null
null
1999
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false