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d5562790 | This paper describes a dialogue act tagging scheme developed for the purpose of providing finer-grained quantitative dialogue metrics for comparing and evaluating DARPA COMMUNICATOR spoken dialogue systems. We show that these dialogue act metrics can be used to quantify the amount of effort spent in a dialogue maintain... | DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems |
d8457271 | We introduce factored language models (FLMs) and generalized parallel backoff (GPB). An FLM represents words as bundles of features (e.g., morphological classes, stems, data-driven clusters, etc.), and induces a probability model covering sequences of bundles rather than just words. GPB extends standard backoff to gene... | Factored Language Models and Generalized Parallel Backoff |
d258890929 | We will present our solution to replace the usage of publicly available machine translation (MT) services in companies where privacy and confidentiality are key. Our MT portal can translate across a variety of languages using neural machine translation, and supports an extensive number of file types. Corporations are u... | TransPerfect's Private Neural Machine Translation Portal |
d5546656 | This paper addressees the problem of eliminating unsatisfactory outputs from machine translation (MT) systems. The authors intend to eliminate unsatisfactory MT outputs by using confidence measures. Confidence measures for MT outputs include the rank-sum-based confidence measure (RSCM) for statistical machine translati... | Using a Mixture of N-Best Lists from Multiple MT Systems in Rank-Sum-Based Confidence Measure for MT Outputs * |
d445754 | This paper addresses a data-driven surface realisation model based on a large-scale reversible grammar of German. We investigate the relationship between the surface realisation performance and the character of the input to generation, i.e. its degree of underspecification. We extend a syntactic surface realisation sys... | Underspecifying and Predicting Voice for Surface Realisation Ranking |
d12258794 | We outline a methodological classification for evaluation approaches of software in general. This classification was initiated partly owing to involvement in a biennial European competition (the European Academic Software Award, EASA) which was held for over a decade. The evaluation grid used in EASA gradually became o... | Classification procedures for software evaluation |
d44855702 | In recent years, the rapid growth of wireless communications has undoubtedly increased the need for speech recognition techniques. In wireless environments, the portability of a computationally powerful device can be realized by distributing data/information and computation resources over wireless networks. Portability... | An Innovative Distributed Speech Recognition Platform for Portable, Personalized and Humanized Wireless Devices |
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d15631550 | In this paper, we introduce the Lefff , a freely available, accurate and large-coverage morphological and syntactic lexicon for French, used in many NLP tools such as large-coverage parsers. We first describe Alexina, the lexical framework in which the Lefff is developed as well as the linguistic notions and formalisms... | The Lefff , a freely available and large-coverage morphological and syntactic lexicon for French |
d17815197 | We present a multi-threaded Interaction Manager (IM) that is used to track different dimensions of user-system conversations that are required to interleave with each other in a coherent and timely manner. This is explained in the context of a spoken dialogue system for pedestrian navigation and city question-answering... | Multi-threaded Interaction Management for Dynamic Spatial Applications |
d21696490 | We present the results of the effort of enriching the pre-existing resource LICO, a Lexicon of Italian COnnectives retrieved from lexicographic sources(Feltracco et al., 2016), with real corpus data for connectives marking contrast relations in text. The motivation beyond our effort is that connectives can only be inte... | Enriching a Lexicon of Discourse Connectives with Corpus-based Data |
d26582300 | There are several native languages in Peru which are mostly agglutinative. These languages are transmitted from generation to generation mainly in oral form, causing different forms of writing across different communities. For this reason, there are recent efforts to standardize the spelling in the written texts, and i... | Spell-Checking based on Syllabification and Character-level Graphs for a Peruvian Agglutinative Language |
d17895526 | We apply Support Vector Machines to differentiate between 11 native languages in the 2013 Native Language Identification Shared Task. We expand a set of common language identification features to include cognate interference and spelling mistakes. Our best results are obtained with a classifier which includes both the ... | Cognate and Misspelling Features for Natural Language Identification |
d11966594 | We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for interpreting recognized text. On the speech recognition side, our innovation is the use of a statistical model combining N-gram and context-fre... | INTEGRATED TECHNIQUES FOR PHRASE EXTRACTION FROM SPEECH |
d26571395 | We are investigating parts of the mathematical foundations of stemmatology, the science reconstructing the copying history of manuscripts. After Joseph Bédier in 1928 got suspicious about large amounts of root bifurcations he found in reconstructed stemmata, Paul Maas replied in 1937 using a mathematical argument that ... | How Many Stemmata with Root Degree k? |
d6214377 | The problem of providing effective computer support for clinical coding has been the target of many research efforts. A recently introduced approach, based on statistical data on co-occurrences of words in clinical notes and assigned diagnosis codes, is here developed further and improved upon. The ability of the word ... | Exploiting Structured Data, Negation Detection and SNOMED CT Terms in a Random Indexing Approach to Clinical Coding |
d11160504 | RWTH Aachen RWTH AachenIn statistical machine translation, correspondences between the words in the source and the target language are learned from parallel corpora, and often little or no linguistic knowledge is used to structure the underlying models. In particular, existing statistical systems for machine translatio... | Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information |
d248779953 | The performance of deep learning models in NLP and other fields of machine learning has led to a rise in their popularity, and so the need for explanations of these models becomes paramount. Attention has been seen as a solution to increase performance, while providing some explanations. However, a debate has started t... | Is Attention Explanation? An Introduction to the Debate |
d221692460 | We introduce a framework in which production-rule based computational cognitive modeling and Reinforcement Learning can systematically interact and inform each other. We focus on linguistic applications because the sophisticated rule-based cognitive models needed to capture linguistic behavioral data promise to provide... | Production-based Cognitive Models as a Test Suite for Reinforcement Learning Algorithms |
d233029470 | 賽德克語構詞結構之自動解析 Analyzing the Morphological Structures in Seediq Words | |
d219304211 | ||
d226283983 | Does neural machine translation yield translations that are congenial with common sense? In this paper, we present a test suite to evaluate the commonsense reasoning capability of neural machine translation. The test suite consists of three test sets, covering lexical and contextless/contextual syntactic ambiguity that... | The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation |
d9835029 | 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... | Towards Personalized Synthesized Voices for Individuals with Vocal Disabilities: Voice Banking and Reconstruction |
d2163836 | The acquisition of Belief verbs lags behind the acquisition of Desire verbs in children. Some psycholinguistic theories attribute this lag to conceptual differences between the two classes, while others suggest that syntactic differences are responsible. Through computational experiments, we show that a probabilistic v... | Acquisition of Desires before Beliefs: A Computational Investigation |
d5957384 | We evaluate the performance of an morphological analyser for Inuktitut across a mediumsized corpus, where it produces a useful analysis for two out of every three types. We then compare its segmentation to that of simpler approaches to morphology, and use these as a pre-processing step to a word alignment task. Our obs... | Evaluating a Morphological Analyser of Inuktitut |
d7709942 | Automatic syntactic analysis of a corpus requires detailed lexical and morphological information that cannot always be harvested from traditional dictionaries. In building the INESS Norwegian treebank, it is often the case that necessary lexical information is missing in the morphology or lexicon. The approach used to ... | The Interplay Between Lexical and Syntactic Resources in Incremental Parsebanking |
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d6206064 | Argo is a web-based NLP and text mining workbench with a convenient graphical user interface for designing and executing processing workflows of various complexity. The workbench is intended for specialists and nontechnical audiences alike, and provides the ever expanding library of analytics compliant with the Unstruc... | Building trainable taggers in a web-based, UIMA-supported NLP workbench |
d2660018 | There are conflicting views in the literature as to the role of listener-adaptive processes in language production in general and articulatory reduction in particular. We present two novel pieces of corpus evidence that corroborate the hypothesis that non-lexical variation of durations is related to the speed of retrie... | On the durational reduction of repeated mentions: recency and speaker effects |
d18957362 | This paper describes the evaluation methodology used to evaluate the TC-STAR speech-to-speech translation (SST) system and their results from the third year of the project. It follows the results presented in , dealing with the first end-to-end evaluation of the project. In this paper, we try to experiment with the met... | An Experimental Methodology for an End-to-End Evaluation in Speech-to-Speech Translation |
d2983741 | This demonstration will motivate some of the significant properties of the Galaxy Communicator Software Infrastructure and show how they support the goals of the DARPA Communicator program. | Exploring Speech-Enabled Dialogue with the Galaxy Communicator Infrastructure |
d10560403 | Coxhead's (2000)Academic Word List (AWL) has been frequently used in EAP classrooms and re-examined in light of various domain-specific corpora. Although well-received, the AWL has been criticized for ignoring the fact that words tend to show irregular distributions and be used in different ways across disciplines (Hyl... | A Corpus-Based Tool for Exploring Domain-Specific Collocations in English |
d5220140 | Mining opinion targets is a fundamental and important task for opinion mining from online reviews. To this end, there are usually two kinds of methods: syntax based and alignment based methods. Syntax based methods usually exploited syntactic patterns to extract opinion targets, which were however prone to suffer from ... | Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews |
d248780043 | Cross-domain sentiment analysis has achieved promising results with the help of pre-trained language models. As GPT-3 appears, prompt tuning has been widely explored to enable better semantic modeling in many natural language processing tasks. However, directly using a fixed predefined template for crossdomain research... | Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis |
d7255624 | An important part of question answering is ensuring a candidate answer is plausible as a response. We present a flexible approach based on discriminative preference ranking to determine which of a set of candidate answers are appropriate. Discriminative methods provide superior performance while at the same time allow ... | Flexible Answer Typing with Discriminative Preference Ranking |
d15505354 | The definition of lexical semantic similarity measures has been the subject of lots of works for many years. In this article, we focus more specifically on distributional semantic similarity measures. Although several evaluations of this kind of measures were already achieved for determining if they actually catch sema... | Testing semantic similarity measures for extracting synonyms from a corpus |
d220445356 | Etude par EMA des mouvements de la mâchoire inférieure durant les consonnes de l'arabe marocain | |
d220060205 | ||
d239020526 | MT adaptation from TMs in ModernMT | |
d5892397 | The Counselor Project at the Un/versity of Massachusetts | |
d216914289 | Extracting temporal relations between events and time expressions has many applications such as constructing event timelines and timerelated question answering. It is a challenging problem which requires syntactic and semantic information at sentence or discourse levels, which may be captured by deep language models su... | Exploring Contextualized Neural Language Models for Temporal Dependency Parsing |
d21689265 | eRulemaking is a means for government agencies to directly reach citizens to solicit their opinions and experiences regarding newly proposed rules. The effort, however, is partly hampered by citizens' comments that lack reasoning and evidence, which are largely ignored since government agencies are unable to evaluate t... | A Corpus of eRulemaking User Comments for Measuring Evaluability of Arguments |
d201085 | Identifying Word Correspondences in Parallel Texts | |
d21718123 | It is proved that in text-based communication such as sms, messengers applications, misinterpretation of partner's emotions are pretty common. In order to tackle this problem, we propose a new multilabel corpus named Emotional Movie Transcript Corpus (EMTC). Unlike most of the existing emotion corpora that are collecte... | EMTC: Multilabel Corpus in Movie Domain for Emotion Analysis in Conversational Text |
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d7549275 | Speech technology applications, such as speech recognition, speech synthesis, and speech dialog systems, often require corpora based on highly customized specifications. Existing corpora available to the community, such as TIMIT and other corpora distributed by LDC and ELDA, do not always meet the requirements of such ... | Low-cost Customized Speech Corpus Creation for Speech Technology Applications |
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d9225825 | Software requirements are commonly written in natural language, making them prone to ambiguity, incompleteness and inconsistency. By converting requirements to formal semantic representations, emerging problems can be detected at an early stage of the development process, thus reducing the number of ensuing errors and ... | Software Requirements: A new Domain for Semantic Parsers |
d18427149 | We present an operational framework allowing to express a large scale Tree Adjoining Grammar (TAG) by using higher level operational constraints on tree descriptions. These constraints first meant to guarantee the well formedness of the grammatical units may also be viewed as a way to put model theoretic syntax at work... | A constraint driven metagrammar |
d9035655 | In this paper, we present YAMAMA, a multi-dialect Arabic morphological analyzer and disambiguator. Our system is almost five times faster than the state-of-the-art MADAMIRA system with a slightly lower quality. In addition to speed, YAMAMA outputs a rich representation which allows for a wider spectrum of use. In this ... | YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer |
d8774560 | This paper looks at the transcribed data of patient-doctor consultations in an examination setting. The doctors are internationally qualified and enrolled in a bridging course as preparation for their Australian Medical Council examination. In this study, we attempt to ascertain if there are measurable linguistic featu... | Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments |
d958094 | An interactive Multilingual Access Gateway (iMAG) dedicated to a web site S (iMAG-S) is a good tool to make S accessible in many languages immediately and without editorial responsibility. Visitors of S as well as paid or unpaid post-editors and moderators contribute to the continuous and incremental improvement of the... | Demo of iMAG possibilities: MT--postediting, translation quality evaluation, parallel corpus production |
d17310394 | We have developed an online interface for running all the current state-of-the-art algorithms for WSD. This is motivated by the fact that exhaustive comparison of a new Word Sense Disambiguation (WSD) algorithm with existing state-of-the-art algorithms is a tedious task. This impediment is due to one of the following r... | I Can Sense It: a comprehensive online system for WSD |
d396930 | For social media analysts or social scientists interested in better understanding an audience or demographic cohort, being able to group social media content by demographic characteristics is a useful mechanism to organise data. Social roles are one particular demographic characteristic, which includes work, recreation... | Detecting Social Roles in Twitter |
d21703463 | The paper provides a cognitively motivated method for evaluating the inflectional complexity of a language, based on a sample of "raw" inflected word forms processed and learned by a recurrent self-organising neural network with fixed parameter setting. Training items contain no information about either morphological c... | Evaluating Inflectional Complexity Crosslinguistically: a Processing Perspective |
d18270214 | This paper briefly sketches new work-inprogress (i) developing task-based scenarios where human-robot teams collaboratively explore real-world environments in which the robot is immersed but the humans are not, (ii) extracting and constructing "multi-modal interval corpora" from dialog, video, and LIDAR messages that w... | |
d15388570 | This paper describes a method to automatically create and maintain gazetteers for Named Entity Recognition (NER). This method extracts the necessary information from linguistic resources. Our approach is based on the analysis of an on-line encyclopedia entries by using a noun hierarchy and optionally a PoS tagger. An i... | A proposal to automatically build and maintain gazetteers for Named Entity Recognition by using Wikipedia |
d1221886 | This paper describes a rule-based semantic parser that relies on a frame dataset (FrameNet), and a semantic network (WordNet), to identify semantic relations between words in open text, as well as shallow semantic features associated with concepts in the text. Parsing semantic structures allows semantic units and const... | Open Text Semantic Parsing Using FrameNet and WordNet |
d259376848 | This paper describes the system of the ABCD team for three main tasks in the SemEval-2023 Task 12: AfriSenti-SemEval for Low-resource African Languages using Twitter Dataset. We focus on exploring the performance of ensemble architectures based on the soft voting technique and different pre-trained transformerbased lan... | ABCD Team at SemEval-2023 Task 12: An Ensemble Transformer-based System for African Sentiment Analysis |
d218974150 | This paper introduces a new CLARIN Knowledge Center which is the K-Centre for Atypical Communication Expertise (ACE for short) which has been established at the Centre for Language and Speech Technology (CLST) at Radboud University. Atypical communication is an umbrella term used here to denote language use by second l... | The CLARIN Knowledge Centre for Atypical Communication Expertise |
d219310068 | ||
d14691060 | Parser disambiguation with precision grammars generally takes place via statistical ranking of the parse yield of the grammar using a supervised parse selection model. In the standard process, the parse selection model is trained over a hand-disambiguated treebank, meaning that without a significant investment of effor... | Unsupervised Parse Selection for HPSG |
d14327001 | We present the first freely available large German dataset for Textual Entailment (TE). Our dataset builds on posts from German online forums concerned with computer problems and models the task of identifying relevant posts for user queries (i.e., descriptions of their computer problems) through TE. We use a sequence ... | A Search Task Dataset for German Textual Entailment |
d7684835 | As part of the STATEMENT MAP project, we are constructing a Japanese corpus annotated with the semantic relations bridging facts and opinions that are necessary for online information credibility evaluation. In this paper, we identify the semantic relations essential to this task and discuss how to efficiently collect ... | Annotating Semantic Relations Combining Facts and Opinions |
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d17522253 | This paper tests speech recognition using prosody dependent allophone models. The log likehoods of various prosodically labeled phonemes are calculated using Baum-Welsh re-estimation.These log likehoods are then compared to log likehoods of non-prosodically labeled phonemes. Based on the comparison of these log likehoo... | The Importance of Prosodic Factors in Phoneme Modeling with Applications to Speech Recognition |
d424313 | We introduce a supervised approach for extracting bio-molecular events by using linguistic features that represent the contexts of the candidate event triggers and participants. We use Support Vector Machines as our learning algorithm and train separate models for event types that are described with a single theme part... | Supervised Classification for Extracting Biomedical Events |
d220046446 | We propose approaches to Quality Estimation (QE) for Machine Translation that explore both text and visual modalities for Multimodal QE. We compare various multimodality integration and fusion strategies. For both sentence-level and document-level predictions, we show that state-of-the-art neural and feature-based QE f... | Multimodal Quality Estimation for Machine Translation |
d220048080 | The goal of Knowledge graph embedding (KGE) is to learn how to represent the lowdimensional vectors for entities and relations based on the observed triples. The conventional shallow models are limited to their expressiveness. ConvE (Dettmers et al., 2018) takes advantage of CNN and improves the expressive power with... | ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding |
d220048457 | The key to effortless end-user programming is natural language. We examine how to teach intelligent systems new functions, expressed in natural language. As a first step, we collected 3168 samples of teaching efforts in plain English. Then we built fu SE , a novel system that translates English function descriptions in... | Programming in Natural Language with fu SE : Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding |
d6087019 | 1) UMR 7503 LORIA, CNRS Campus scientifique 54 506 Vandoeuvre-lès-Nancy (2) UMR 5191 ICAR, CNRS 5 parvis René Descartes 69342 Lyon Cedex 07 (3) UMR 5141 LTCI, CNRS 46 rue Barrault 75 634 Paris Cedex 13 (4) CNAM-CRTD,RÉSUMÉLa présence de conflits dans les communautés épistémiques en ligne peut s'avérer bloquante pour l'... | Détection de conflits dans les communautés épistémiques en ligne |
d6183518 | We report in this paper a way of doing Word Sense Disambiguation (WSD) that has its origin in multilingual MT and that is cognizant of the fact that parallel corpora, wordnets and sense annotated corpora are scarce resources. With respect to these resources, languages show different levels of readiness; however a more ... | Projecting Parameters for Multilingual Word Sense Disambiguation |
d6077317 | This paper describes a partial taxonomy of control structures for actions in procedural texts. On the basis of the taxonomy, we examine natural language expressions for control structures in Japanese procedural texts and present PT (Procedural Text) -chart which represents the structure of a procedural text. | CONTROL STRUCTURES FOR ACTIONS IN PROCEDURAL TEXTS AND PT-CHART |
d18064933 | As part of a project to develop a Japanese-English machine translation system for technical texts within a limited domain, we conducted a study to investigate the roles that sublanguage techniques(Harris, 1968) and operatorargument grammar(Harris, 1982)would play in the analysis and transfer stages of the system. The d... | A COMPARATIVE STUDY OF JAPANESE AND ENGLISH SUBLANGUAGE PATTERNS |
d8162001 | We identify and validate from a large corpus constraints from conjunctions on the positive or negative semantic orientation of the conjoined adjectives. A log-linear regression model uses these constraints to predict whether conjoined adjectives are of same or different orientations, achieving 82% accuracy in this task... | Predicting the Semantic Orientation of Adjectives |
d8535026 | A system for object-oriented dialogue in Swedish | |
d258463952 | This quantitative study analyzed the levels of and the relationship between the second language (L2) grit and intrinsic reading motivation of pre-service teachers majoring in English language education (N=128) and elementary education (N=108) from two universities in Central Mindanao, Philippines. Using a quantitative ... | The Relationship between L2 Grit and Intrinsic Reading Motivation of Filipino Pre-service Teachers in Central Mindanao |
d12348021 | Answering questions that ask about temporal information involves several forms of inference. In order to develop question answering capabilities that benefit from temporal inference, we believe that a large corpus of questions and answers that are discovered based on temporal information should be available. This paper... | An Answer Bank for Temporal Inference |
d256461015 | This paper describes our submission to the WMT2022 shared metrics task. Our unsupervised metric estimates the translation quality at chunk-level and sentence-level. Source and target sentence chunks are retrieved by using a multi-lingual chunker. Chunk-level similarity is computed by leveraging BERT contextual word emb... | REUSE: REference-free UnSupervised quality Estimation Metric |
d256461250 | This paper describes the SPECTRANS submission for the WMT 2022 biomedical shared task. We present the results of our experiments using the training corpora and the JoeyNMT (Kreutzer et al., 2019) and SYSTRAN Pure Neural Server/ Advanced Model Studio toolkits for the language directions English to French and French to E... | The SPECTRANS System Description for the WMT22 Biomedical Task |
d171835271 | La reformulation participe à la structuration du discours, notamment dans le cas des dialogues, et contribue également à la dynamique du discours. Reformuler est un acte significatif qui poursuit des objectifs précis. L'objectif de notre travail est de prédire automatiquement la raison pour laquelle un locuteur effectu... | Prédiction automatique de fonctions pragmatiques dans les reformulations |
d14903169 | 1 This paper presents an adaptable online Multilingual Discourse Processing System (Mul-tiDPS), composed of four natural language processing tools: named entity recognizer, anaphora resolver, clause splitter and a discourse parser. This NLP Meta System allows any user to run it on the web or via web services and, if ne... | MultiDPS -A multilingual Discourse Processing System |
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d220058855 | Because open-domain dialogues allow diverse responses, basic reference-based metrics such as BLEU do not work well unless we prepare a massive reference set of high-quality responses for input utterances. To reduce this burden, a human-aided, uncertainty-aware metric, ∆BLEU, has been proposed; it embeds human judgment ... | υBLEU: Uncertainty-Aware Automatic Evaluation Method for Open-Domain Dialogue Systems |
d4940347 | In this paper we define two intermediate models of textual entailment, which correspond to lexical and lexical-syntactic levels of representation. We manually annotated a sample from the RTE dataset according to each model, compared the outcome for the two models, and explored how well they approximate the notion of en... | Definition and Analysis of Intermediate Entailment Levels |
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d40620337 | Dans cet article, nous nous sommes intéressés à la prise en compte des erreurs dans les contenus textuels des documents XML. Nous proposons une approche visant à diminuer l'impact de ces erreurs sur les systèmes de Recherche d'Information (RI). En effet, ces systèmes produisent des index associant chaque document aux t... | Une approche de recherche d'information structurée fondée sur la correction d'erreurs à l'indexation des documents |
d5144216 | This paper describes the NICT statistical machine translation (SMT) system used for the WMT 2009 Shared Task (WMT09) evaluation. We participated in the Spanish-English translation task. The focus of this year's participation was to investigate model adaptation and transliteration techniques in order to improve the tran... | NICT@WMT09: Model Adaptation and Transliteration for Spanish-English SMT |
d250390575 | Misogynistic memes are rampant on social media, and often convey their messages using multimodal signals (e.g., images paired with derogatory text or captions). However, to date very few multimodal systems have been leveraged for the detection of misogynistic memes. Recently, researchers have turned to contrastive lear... | UIC-NLP at SemEval-2022 Task 5: Exploring Contrastive Learning for Multimodal Detection of Misogynistic Memes |
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d11296398 | The normal practice of selecting relevant documents for training routing queries is to either use all relevants or the 'best n' of them after a (retrieval) ranking operation with respect to each query. Using all relevants can introduce noise and ambiguities in training because documents can be long with many irrelevant... | Learning from Relevant Documents in Large Scale Routing Retrieval |
d3518648 | The Wall Street Journal corpora provided for the Workshop on Cross-Framework and Cross-Domain Parser Evaluation Shared Task are investigated in order to see how the structures that are difficult for an annotator of dependency structure are encoded in the different schemes. Non-trivial differences among the schemes are ... | Toward an Underspecifiable Corpus Annotation Scheme |
d2433417 | Recent work on Conditional RandomFields (CRFs) has demonstrated the need for regularisation to counter the tendency of these models to overfit. The standard approach to regularising CRFs involves a prior distribution over the model parameters, typically requiring search over a hyperparameter space. In this paper we add... | Logarithmic Opinion Pools for Conditional Random Fields |
d61863536 | Recent developments in statistical machine translation (SMT), e.g., the availability of efficient implementations of integrated open-source toolkits like Moses, have made it possible to build a prototype system with decent translation quality for any language pair in a few days or even hours. This is so in theory. In p... | Reusing Parallel Corpora between Related Languages (invited talk) |
d3913472 | Toward a Rational Model of Discourse Comprehension | |
d251402038 | In this paper, we present a new corpus of clickbait articles annotated by university students along with a corresponding shared task: clickbait articles use a headline or teaser that hides information from the reader to make them curious to open the article. We therefore propose to construct approaches that can automat... | Know Better -A Clickbait Resolving Challenge |
d14694982 | To answer the question "What are the duties of a medical doctor?", one would require knowledge about verb-based relations. A lot of effort has been invested in developing relation learners, however to our knowledge there is no repository (or system) which can return all verb relations for a given term. This paper descr... | Learning Verbs on the Fly |
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