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Motivation: Entropy measurements on hierarchical structures have been used in methods for information retrieval and natural language modeling. Here we explore its application to semantic similarity. By finding shared ontology terms, semantic similarity can be established between annotated genes. A common procedure for ... | Using Entropy Estimates for DAG-Based Ontologies | 1,700 |
We describe the Clinical TempEval task which is currently in preparation for the SemEval-2015 evaluation exercise. This task involves identifying and describing events, times and the relations between them in clinical text. Six discrete subtasks are included, focusing on recognising mentions of times and events, descri... | Clinical TempEval | 1,701 |
Natural language processing is a prompt research area across the country. Parsing is one of the very crucial tool in language analysis system which aims to forecast the structural relationship among the words in a given sentence. Many researchers have already developed so many language tools but the accuracy is not mee... | An efficiency dependency parser using hybrid approach for tamil language | 1,702 |
In this paper, we present the implementation of an automatic Sign Language (SL) sign annotation framework based on a formal logic, the Propositional Dynamic Logic (PDL). Our system relies heavily on the use of a specific variant of PDL, the Propositional Dynamic Logic for Sign Language (PDLSL), which lets us describe S... | Implementation of an Automatic Sign Language Lexical Annotation
Framework based on Propositional Dynamic Logic | 1,703 |
This paper explores the use of Propositional Dynamic Logic (PDL) as a suitable formal framework for describing Sign Language (SL), the language of deaf people, in the context of natural language processing. SLs are visual, complete, standalone languages which are just as expressive as oral languages. Signs in SL usuall... | Sign Language Lexical Recognition With Propositional Dynamic Logic | 1,704 |
Machine translation (MT) research in Indian languages is still in its infancy. Not much work has been done in proper transliteration of name entities in this domain. In this paper we address this issue. We have used English-Hindi language pair for our experiments and have used a hybrid approach. At first we have proces... | Hybrid Approach to English-Hindi Name Entity Transliteration | 1,705 |
Evaluation plays a crucial role in development of Machine translation systems. In order to judge the quality of an existing MT system i.e. if the translated output is of human translation quality or not, various automatic metrics exist. We here present the implementation results of different metrics when used on Hindi ... | Evaluation and Ranking of Machine Translated Output in Hindi Language
using Precision and Recall Oriented Metrics | 1,706 |
This article reports the evaluation of the integration of data from a syntactic-semantic lexicon, the Lexicon-Grammar of French, into a syntactic parser. We show that by changing the set of labels for verbs and predicational nouns, we can improve the performance on French of a non-lexicalized probabilistic parser. | Intégration des données d'un lexique syntaxique dans un analyseur
syntaxique probabiliste | 1,707 |
We present the creation of an English-Swedish FrameNet-based grammar in Grammatical Framework. The aim of this research is to make existing framenets computationally accessible for multilingual natural language applications via a common semantic grammar API, and to facilitate the porting of such grammar to other langua... | Extracting a bilingual semantic grammar from FrameNet-annotated corpora | 1,708 |
The ability to accurately represent sentences is central to language understanding. We describe a convolutional architecture dubbed the Dynamic Convolutional Neural Network (DCNN) that we adopt for the semantic modelling of sentences. The network uses Dynamic k-Max Pooling, a global pooling operation over linear sequen... | A Convolutional Neural Network for Modelling Sentences | 1,709 |
Stemming is a pre-processing step in Text Mining applications as well as a very common requirement of Natural Language processing functions. Stemming is the process for reducing inflected words to their stem. The main purpose of stemming is to reduce different grammatical forms / word forms of a word like its noun, adj... | Overview of Stemming Algorithms for Indian and Non-Indian Languages | 1,710 |
We introduce a novel approach for building language models based on a systematic, recursive exploration of skip n-gram models which are interpolated using modified Kneser-Ney smoothing. Our approach generalizes language models as it contains the classical interpolation with lower order models as a special case. In this... | A Generalized Language Model as the Combination of Skipped n-grams and
Modified Kneser-Ney Smoothing | 1,711 |
Metrics for measuring the comparability of corpora or texts need to be developed and evaluated systematically. Applications based on a corpus, such as training Statistical MT systems in specialised narrow domains, require finding a reasonable balance between the size of the corpus and its consistency, with controlled a... | Meta-evaluation of comparability metrics using parallel corpora | 1,712 |
Evaluation plays a vital role in checking the quality of MT output. It is done either manually or automatically. Manual evaluation is very time consuming and subjective, hence use of automatic metrics is done most of the times. This paper evaluates the translation quality of different MT Engines for Hindi-English (Hind... | Assessing the Quality of MT Systems for Hindi to English Translation | 1,713 |
Stanford typed dependencies are a widely desired representation of natural language sentences, but parsing is one of the major computational bottlenecks in text analysis systems. In light of the evolving definition of the Stanford dependencies and developments in statistical dependency parsing algorithms, this paper re... | An Empirical Comparison of Parsing Methods for Stanford Dependencies | 1,714 |
In this article, we have introduced the first parallel corpus of Persian with more than 10 other European languages. This article describes primary steps toward preparing a Basic Language Resources Kit (BLARK) for Persian. Up to now, we have proposed morphosyntactic specification of Persian based on EAGLE/MULTEXT guide... | The First Parallel Multilingual Corpus of Persian: Toward a Persian
BLARK | 1,715 |
We present a novel technique for learning semantic representations, which extends the distributional hypothesis to multilingual data and joint-space embeddings. Our models leverage parallel data and learn to strongly align the embeddings of semantically equivalent sentences, while maintaining sufficient distance betwee... | Multilingual Models for Compositional Distributed Semantics | 1,716 |
We present a method to leverage radical for learning Chinese character embedding. Radical is a semantic and phonetic component of Chinese character. It plays an important role as characters with the same radical usually have similar semantic meaning and grammatical usage. However, existing Chinese processing algorithms... | Radical-Enhanced Chinese Character Embedding | 1,717 |
Farsi, also known as Persian, is the official language of Iran and Tajikistan and one of the two main languages spoken in Afghanistan. Farsi enjoys a unified Arabic script as its writing system. In this paper we briefly introduce the writing standards of Farsi and highlight problems one would face when analyzing Farsi ... | Challenges in Persian Electronic Text Analysis | 1,718 |
This paper develops a compositional vector-based semantics of subject and object relative pronouns within a categorical framework. Frobenius algebras are used to formalise the operations required to model the semantics of relative pronouns, including passing information between the relative clause and the modified noun... | The Frobenius anatomy of word meanings I: subject and object relative
pronouns | 1,719 |
In this work we present a morphological analysis of Bishnupriya Manipuri language, an Indo-Aryan language spoken in the north eastern India. As of now, there is no computational work available for the language. Finite state morphology is one of the successful approaches applied in a wide variety of languages over the y... | Morphological Analysis of the Bishnupriya Manipuri Language using Finite
State Transducers | 1,720 |
Most state-of-the-art approaches for named-entity recognition (NER) use semi supervised information in the form of word clusters and lexicons. Recently neural network-based language models have been explored, as they as a byproduct generate highly informative vector representations for words, known as word embeddings. ... | Lexicon Infused Phrase Embeddings for Named Entity Resolution | 1,721 |
Linguists and psychologists have long been studying cross-linguistic transfer, the influence of native language properties on linguistic performance in a foreign language. In this work we provide empirical evidence for this process in the form of a strong correlation between language similarities derived from structura... | Reconstructing Native Language Typology from Foreign Language Usage | 1,722 |
Many successful approaches to semantic parsing build on top of the syntactic analysis of text, and make use of distributional representations or statistical models to match parses to ontology-specific queries. This paper presents a novel deep learning architecture which provides a semantic parsing system through the un... | A Deep Architecture for Semantic Parsing | 1,723 |
We describe a contextual parser for the Robot Commands Treebank, a new crowdsourced resource. In contrast to previous semantic parsers that select the most-probable parse, we consider the different problem of parsing using additional situational context to disambiguate between different readings of a sentence. We show ... | Contextual Semantic Parsing using Crowdsourced Spatial Descriptions | 1,724 |
We present an approach to the extraction of family relations from literary narrative, which incorporates a technique for utterance attribution proposed recently by Elson and McKeown (2010). In our work this technique is used in combination with the detection of vocatives - the explicit forms of address used by the char... | Extracting Family Relationship Networks from Novels | 1,725 |
Named Entities (NEs) are often written with no orthographic changes across different languages that share a common alphabet. We show that this can be leveraged so as to improve named entity recognition (NER) by using unsupervised word clusters from secondary languages as features in state-of-the-art discriminative NER ... | "Translation can't change a name": Using Multilingual Data for Named
Entity Recognition | 1,726 |
We present a probabilistic model that simultaneously learns alignments and distributed representations for bilingual data. By marginalizing over word alignments the model captures a larger semantic context than prior work relying on hard alignments. The advantage of this approach is demonstrated in a cross-lingual clas... | Learning Bilingual Word Representations by Marginalizing Alignments | 1,727 |
It is now widely recognized that ontologies, are one of the fundamental cornerstones of knowledge-based systems. What is lacking, however, is a currently accepted strategy of how to build ontology; what kinds of the resources and techniques are indispensables to optimize the expenses and the time on the one hand and th... | Automatic Method Of Domain Ontology Construction based on
Characteristics of Corpora POS-Analysis | 1,728 |
Conjuring up our thoughts, language reflects statistical patterns of word co-occurrences which in turn come to describe how we perceive the world. Whether counting how frequently nouns and verbs combine in Google search queries, or extracting eigenvectors from term document matrices made up of Wikipedia lines and Shake... | Latent semantics of action verbs reflect phonetic parameters of
intensity and emotional content | 1,729 |
Word sense disambiguation (WSD) is a problem in the field of computational linguistics given as finding the intended sense of a word (or a set of words) when it is activated within a certain context. WSD was recently addressed as a combinatorial optimization problem in which the goal is to find a sequence of senses tha... | D-Bees: A Novel Method Inspired by Bee Colony Optimization for Solving
Word Sense Disambiguation | 1,730 |
The strength with which a statement is made can have a significant impact on the audience. For example, international relations can be strained by how the media in one country describes an event in another; and papers can be rejected because they overstate or understate their findings. It is thus important to understan... | A Corpus of Sentence-level Revisions in Academic Writing: A Step towards
Understanding Statement Strength in Communication | 1,731 |
In this work we present our expert system of Automatic reading or speech synthesis based on a text written in Standard Arabic, our work is carried out in two great stages: the creation of the sound data base, and the transformation of the written text into speech (Text To Speech TTS). This transformation is done firstl... | An Expert System for Automatic Reading of A Text Written in Standard
Arabic | 1,732 |
Minimum error rate training (MERT) is a widely used training procedure for statistical machine translation. A general problem of this approach is that the search space is easy to converge to a local optimum and the acquired weight set is not in accord with the real distribution of feature functions. This paper introduc... | Coordinate System Selection for Minimum Error Rate Training in
Statistical Machine Translation | 1,733 |
This paper presents a novel combinational phonetic algorithm for Sindhi Language, to be used in developing Sindhi Spell Checker which has yet not been developed prior to this work. The compound textual forms and glyphs of Sindhi language presents a substantial challenge for developing Sindhi spell checker system and ge... | Phonetic based SoundEx & ShapeEx algorithm for Sindhi Spell Checker
System | 1,734 |
We provide a method for automatically detecting change in language across time through a chronologically trained neural language model. We train the model on the Google Books Ngram corpus to obtain word vector representations specific to each year, and identify words that have changed significantly from 1900 to 2009. T... | Temporal Analysis of Language through Neural Language Models | 1,735 |
We describe INAUT, a controlled natural language dedicated to collaborative update of a knowledge base on maritime navigation and to automatic generation of coast pilot books (Instructions nautiques) of the French National Hydrographic and Oceanographic Service SHOM. INAUT is based on French language and abundantly use... | INAUT, a Controlled Language for the French Coast Pilot Books
Instructions nautiques | 1,736 |
In recent years, new developments in the area of lexicography have altered not only the management, processing and publishing of lexicographical data, but also created new types of products such as electronic dictionaries and thesauri. These expand the range of possible uses of lexical data and support users with more ... | Méthodes pour la représentation informatisée de données
lexicales / Methoden der Speicherung lexikalischer Daten | 1,737 |
This paper presents preliminary results of Croatian syllable networks analysis. Syllable network is a network in which nodes are syllables and links between them are constructed according to their connections within words. In this paper we analyze networks of syllables generated from texts collected from the Croatian W... | A preliminary study of Croatian Language Syllable Networks | 1,738 |
We present a natural language modelization method which is strongely relying on mathematics. This method, called "Formal Semantics," has been initiated by the American linguist Richard M. Montague in the 1970's. It uses mathematical tools such as formal languages and grammars, first-order logic, type theory and $\lambd... | Les mathématiques de la langue : l'approche formelle de Montague | 1,739 |
This paper presents a scalable method for integrating compositional morphological representations into a vector-based probabilistic language model. Our approach is evaluated in the context of log-bilinear language models, rendered suitably efficient for implementation inside a machine translation decoder by factoring t... | Compositional Morphology for Word Representations and Language Modelling | 1,740 |
We present an extended, thematically reinforced version of Gabrilovich and Markovitch's Explicit Semantic Analysis (ESA), where we obtain thematic information through the category structure of Wikipedia. For this we first define a notion of categorical tfidf which measures the relevance of terms in categories. Using th... | Thematically Reinforced Explicit Semantic Analysis | 1,741 |
Traditional learning-based coreference resolvers operate by training the mention-pair model for determining whether two mentions are coreferent or not. Though conceptually simple and easy to understand, the mention-pair model is linguistically rather unappealing and lags far behind the heuristic-based coreference model... | Narrowing the Modeling Gap: A Cluster-Ranking Approach to Coreference
Resolution | 1,742 |
Chinese characters have a complex and hierarchical graphical structure carrying both semantic and phonetic information. We use this structure to enhance the text model and obtain better results in standard NLP operations. First of all, to tackle the problem of graphical variation we define allographic classes of charac... | New Perspectives in Sinographic Language Processing Through the Use of
Character Structure | 1,743 |
Although the parallel corpus has an irreplaceable role in machine translation, its scale and coverage is still beyond the actual needs. Non-parallel corpus resources on the web have an inestimable potential value in machine translation and other natural language processing tasks. This article proposes a semi-supervised... | Machine Translation Model based on Non-parallel Corpus and
Semi-supervised Transductive Learning | 1,744 |
Economic issues related to the information processing techniques are very important. The development of such technologies is a major asset for developing countries like Cambodia and Laos, and emerging ones like Vietnam, Malaysia and Thailand. The MotAMot project aims to computerize an under-resourced language: Khmer, s... | MotàMot project: conversion of a French-Khmer published dictionary for
building a multilingual lexical system | 1,745 |
This paper relates work done during the DiLAF project. It consists in converting 5 bilingual African language-French dictionaries originally in Word format into XML following the LMF model. The languages processed are Bambara, Hausa, Kanuri, Tamajaq and Songhai-zarma, still considered as under-resourced languages conce... | Computerization of African languages-French dictionaries | 1,746 |
The technique of building of networks of hierarchies of terms based on the analysis of chosen text corpora is offered. The technique is based on the methodology of horizontal visibility graphs. Constructed and investigated language network, formed on the basis of electronic preprints arXiv on topics of information retr... | Building of Networks of Natural Hierarchies of Terms Based on Analysis
of Texts Corpora | 1,747 |
The Swiss avalanche bulletin is produced twice a day in four languages. Due to the lack of time available for manual translation, a fully automated translation system is employed, based on a catalogue of predefined phrases and predetermined rules of how these phrases can be combined to produce sentences. The system is ... | Evaluating the fully automatic multi-language translation of the Swiss
avalanche bulletin | 1,748 |
Name matching between multiple natural languages is an important step in cross-enterprise integration applications and data mining. It is difficult to decide whether or not two syntactic values (names) from two heterogeneous data sources are alternative designation of the same semantic entity (person), this process bec... | Cross-Language Personal Name Mapping | 1,749 |
This paper re-investigates a lexical acquisition system initially developed for French.We show that, interestingly, the architecture of the system reproduces and implements the main components of Optimality Theory. However, we formulate the hypothesis that some of its limitations are mainly due to a poor representation... | Optimality Theory as a Framework for Lexical Acquisition | 1,750 |
This paper reports about our work in the ICON 2013 NLP TOOLS CONTEST on Named Entity Recognition. We submitted runs for Bengali, English, Hindi, Marathi, Punjabi, Tamil and Telugu. A statistical HMM (Hidden Markov Models) based model has been used to implement our system. The system has been trained and tested on the N... | An HMM Based Named Entity Recognition System for Indian Languages: The
JU System at ICON 2013 | 1,751 |
We present a novel framework for learning to interpret and generate language using only perceptual context as supervision. We demonstrate its capabilities by developing a system that learns to sportscast simulated robot soccer games in both English and Korean without any language-specific prior knowledge. Training empl... | Training a Multilingual Sportscaster: Using Perceptual Context to Learn
Language | 1,752 |
Several messages express opinions about events, products, and services, political views or even their author's emotional state and mood. Sentiment analysis has been used in several applications including analysis of the repercussions of events in social networks, analysis of opinions about products and services, and si... | Comparing and Combining Sentiment Analysis Methods | 1,753 |
Sentence extraction based summarization methods has some limitations as it doesn't go into the semantics of the document. Also, it lacks the capability of sentence generation which is intuitive to humans. Here we present a novel method to summarize text documents taking the process to semantic levels with the use of Wo... | A Semantic Approach to Summarization | 1,754 |
It has been proved that large scale realistic Knowledge Based Machine Translation applications require acquisition of huge knowledge about language and about the world. This knowledge is encoded in computational grammars, lexicons and domain models. Another approach which avoids the need for collecting and analyzing ma... | The Best Templates Match Technique For Example Based Machine Translation | 1,755 |
Development of a proper names pronunciation lexicon is usually a manual effort which can not be avoided. Grapheme to phoneme (G2P) conversion modules, in literature, are usually rule based and work best for non-proper names in a particular language. Proper names are foreign to a G2P module. We follow an optimization ap... | Basis Identification for Automatic Creation of Pronunciation Lexicon for
Proper Names | 1,756 |
IsiZulu is one of the eleven official languages of South Africa and roughly half the population can speak it. It is the first (home) language for over 10 million people in South Africa. Only a few computational resources exist for isiZulu and its related Nguni languages, yet the imperative for tool development exists. ... | Toward verbalizing ontologies in isiZulu | 1,757 |
Recent developments in controlled natural language editors for knowledge engineering (KE) have given rise to expectations that they will make KE tasks more accessible and perhaps even enable non-engineers to build knowledge bases. This exploratory research focussed on novices and experts in knowledge engineering during... | How Easy is it to Learn a Controlled Natural Language for Building a
Knowledge Base? | 1,758 |
This paper presents a currently bilingual but potentially multilingual FrameNet-based grammar library implemented in Grammatical Framework. The contribution of this paper is two-fold. First, it offers a methodological approach to automatically generate the grammar based on semantico-syntactic valence patterns extracted... | Controlled Natural Language Generation from a Multilingual
FrameNet-based Grammar | 1,759 |
One of the main challenges for building the Semantic web is Ontology Authoring. Controlled Natural Languages CNLs offer a user friendly means for non-experts to author ontologies. This paper provides a snapshot of the state-of-the-art for the core CNLs for ontology authoring and reviews their respective evaluations. | A Brief State of the Art for Ontology Authoring | 1,760 |
Controlled natural languages for industrial application are often regarded as a response to the challenges of translation and multilingual communication. This paper presents a quite different approach taken by Koenig & Bauer AG, where the main goal was the improvement of the authoring process for technical documentatio... | Are Style Guides Controlled Languages? The Case of Koenig & Bauer AG | 1,761 |
This paper presents a system which learns to answer questions on a broad range of topics from a knowledge base using few hand-crafted features. Our model learns low-dimensional embeddings of words and knowledge base constituents; these representations are used to score natural language questions against candidate answe... | Question Answering with Subgraph Embeddings | 1,762 |
In todays digital world automated Machine Translation of one language to another has covered a long way to achieve different kinds of success stories. Whereas Babel Fish supports a good number of foreign languages and only Hindi from Indian languages, the Google Translator takes care of about 10 Indian languages. Thoug... | Translation Of Telugu-Marathi and Vice-Versa using Rule Based Machine
Translation | 1,763 |
In this paper, we describe methods for handling multilingual non-compositional constructions in the framework of GF. We specifically look at methods to detect and extract non-compositional phrases from parallel texts and propose methods to handle such constructions in GF grammars. We expect that the methods to handle n... | Handling non-compositionality in multilingual CNLs | 1,764 |
In this paper, we investigate and experiment the notion of error correction memory applied to error correction in technical texts. The main purpose is to induce relatively generic correction patterns associated with more contextual correction recommendations, based on previously memorized and analyzed corrections. The ... | Towards an Error Correction Memory to Enhance Technical Texts Authoring
in LELIE | 1,765 |
Inspired by embedded programming languages, an embedded CNL (controlled natural language) is a proper fragment of an entire natural language (its host language), but it has a parser that recognizes the entire host language. This makes it possible to process out-of-CNL input and give useful feedback to users, instead of... | Embedded Controlled Languages | 1,766 |
In this paper we describe our contribution to the PoliInformatics 2014 Challenge on the 2007-2008 financial crisis. We propose a state of the art technique to extract information from texts and provide different representations, giving first a static overview of the domain and then a dynamic representation of its main ... | Mapping the Economic Crisis: Some Preliminary Investigations | 1,767 |
Text classification is a task of automatic classification of text into one of the predefined categories. The problem of text classification has been widely studied in different communities like natural language processing, data mining and information retrieval. Text classification is an important constituent in many in... | A survey on phrase structure learning methods for text classification | 1,768 |
In this paper we present an ongoing research investigating the possibility and potential of integrating frame semantics, particularly FrameNet, in the Grammatical Framework (GF) application grammar development. An important component of GF is its Resource Grammar Library (RGL) that encapsulates the low-level linguistic... | FrameNet Resource Grammar Library for GF | 1,769 |
The computational handling of Modern Standard Arabic is a challenge in the field of natural language processing due to its highly rich morphology. However, several authors have pointed out that the Arabic morphological system is in fact extremely regular. The existing Arabic morphological analyzers have exploited this ... | Jabalin: a Comprehensive Computational Model of Modern Standard Arabic
Verbal Morphology Based on Traditional Arabic Prosody | 1,770 |
In this paper, we tackle the problem of the translation of proper names. We introduce our hypothesis according to which proper names can be translated more often than most people seem to think. Then, we describe the construction of a parallel multilingual corpus used to illustrate our point. We eventually evaluate both... | Les noms propres se traduisent-ils ? Étude d'un corpus multilingue | 1,771 |
An inter-rater agreement study is performed for readability assessment in Bengali. A 1-7 rating scale was used to indicate different levels of readability. We obtained moderate to fair agreement among seven independent annotators on 30 text passages written by four eminent Bengali authors. As a by product of our study,... | Inter-Rater Agreement Study on Readability Assessment in Bengali | 1,772 |
Machine translation is the process of translating text from one language to another. In this paper, Statistical Machine Translation is done on Assamese and English language by taking their respective parallel corpus. A statistical phrase based translation toolkit Moses is used here. To develop the language model and to... | Assamese-English Bilingual Machine Translation | 1,773 |
Machine Translation is the challenging problem for Indian languages. Every day we can see some machine translators being developed, but getting a high quality automatic translation is still a very distant dream . The correct translated sentence for Hindi language is rarely found. In this paper, we are emphasizing on En... | Quality Estimation Of Machine Translation Outputs Through Stemming | 1,774 |
Named Entity Recognition is always important when dealing with major Natural Language Processing tasks such as information extraction, question-answering, machine translation, document summarization etc so in this paper we put forward a survey of Named Entities in Indian Languages with particular reference to Assamese.... | A Survey of Named Entity Recognition in Assamese and other Indian
Languages | 1,775 |
In this paper we present a fundamental lexical semantics of Sinhala language and a Hidden Markov Model (HMM) based Part of Speech (POS) Tagger for Sinhala language. In any Natural Language processing task, Part of Speech is a very vital topic, which involves analysing of the construction, behaviour and the dynamics of ... | Hidden Markov Model Based Part of Speech Tagger for Sinhala Language | 1,776 |
We analyze a word embedding method in supervised tasks. It maps words on a sphere such that words co-occurring in similar contexts lie closely. The similarity of contexts is measured by the distribution of substitutes that can fill them. We compared word embeddings, including more recent representations, in Named Entit... | Substitute Based SCODE Word Embeddings in Supervised NLP Tasks | 1,777 |
Previous attempts at RST-style discourse segmentation typically adopt features centered on a single token to predict whether to insert a boundary before that token. In contrast, we develop a discourse segmenter utilizing a set of pairing features, which are centered on a pair of adjacent tokens in the sentence, by equa... | Two-pass Discourse Segmentation with Pairing and Global Features | 1,778 |
We present a novel approach for recognizing what we call targetable named entities; that is, named entities in a targeted set (e.g, movies, books, TV shows). Unlike many other NER systems that need to retrain their statistical models as new entities arrive, our approach does not require such retraining, which makes it ... | Targetable Named Entity Recognition in Social Media | 1,779 |
Identifying concepts and relationships in biomedical text enables knowledge to be applied in computational analyses. Many biological natural language process (BioNLP) projects attempt to address this challenge, but the state of the art in BioNLP still leaves much room for improvement. Progress in BioNLP research depend... | Microtask crowdsourcing for disease mention annotation in PubMed
abstracts | 1,780 |
In this paper, we describe the problem of cognate identification and its relation to phylogenetic inference. We introduce subsequence based features for discriminating cognates from non-cognates. We show that subsequence based features perform better than the state-of-the-art string similarity measures for the purpose ... | Gap-weighted subsequences for automatic cognate identification and
phylogenetic inference | 1,781 |
Real-word spelling correction differs from non-word spelling correction in its aims and its challenges. Here we show that the central problem in real-word spelling correction is detection. Methods from non-word spelling correction, which focus instead on selection among candidate corrections, do not address detection a... | Detection is the central problem in real-word spelling correction | 1,782 |
We present SimLex-999, a gold standard resource for evaluating distributional semantic models that improves on existing resources in several important ways. First, in contrast to gold standards such as WordSim-353 and MEN, it explicitly quantifies similarity rather than association or relatedness, so that pairs of enti... | SimLex-999: Evaluating Semantic Models with (Genuine) Similarity
Estimation | 1,783 |
In this work, we present an application of the recently proposed unsupervised keyword extraction algorithm RAKE to a corpus of Polish legal texts from the field of public procurement. RAKE is essentially a language and domain independent method. Its only language-specific input is a stoplist containing a set of non-con... | Unsupervised Keyword Extraction from Polish Legal Texts | 1,784 |
Ferrer-i-Cancho (2015) presents a mathematical model of both the synchronic and diachronic nature of word order based on the assumption that memory costs are a never decreasing function of distance and a few very general linguistic assumptions. However, even these minimal and seemingly obvious assumptions are not as sa... | Be Careful When Assuming the Obvious: Commentary on "The placement of
the head that minimizes online memory: a complex systems approach" | 1,785 |
We provide a comparative study between neural word representations and traditional vector spaces based on co-occurrence counts, in a number of compositional tasks. We use three different semantic spaces and implement seven tensor-based compositional models, which we then test (together with simpler additive and multipl... | Evaluating Neural Word Representations in Tensor-Based Compositional
Settings | 1,786 |
This paper provides a method for improving tensor-based compositional distributional models of meaning by the addition of an explicit disambiguation step prior to composition. In contrast with previous research where this hypothesis has been successfully tested against relatively simple compositional models, in our wor... | Resolving Lexical Ambiguity in Tensor Regression Models of Meaning | 1,787 |
We present STIR (STrongly Incremental Repair detection), a system that detects speech repairs and edit terms on transcripts incrementally with minimal latency. STIR uses information-theoretic measures from n-gram models as its principal decision features in a pipeline of classifiers detecting the different stages of re... | Strongly Incremental Repair Detection | 1,788 |
In this empirical study, I compare various tree distance measures -- originally developed in computational biology for the purpose of tree comparison -- for the purpose of parser evaluation. I will control for the parser setting by comparing the automatically generated parse trees from the state-of-the-art parser Charn... | Empirical Evaluation of Tree distances for Parser Evaluation | 1,789 |
This report describes an NLP assistant for the collaborative development environment Clide, that supports the development of NLP applications by providing easy access to some common NLP data structures. The assistant visualizes text fragments and their dependencies by displaying the semantic graph of a sentence, the co... | An NLP Assistant for Clide | 1,790 |
Automatic Multi-Word Term (MWT) extraction is a very important issue to many applications, such as information retrieval, question answering, and text categorization. Although many methods have been used for MWT extraction in English and other European languages, few studies have been applied to Arabic. In this paper, ... | A Study of Association Measures and their Combination for Arabic MWT
Extraction | 1,791 |
This paper presents a new model of WordNet that is used to disambiguate the correct sense of polysemy word based on the clue words. The related words for each sense of a polysemy word as well as single sense word are referred to as the clue words. The conventional WordNet organizes nouns, verbs, adjectives and adverbs ... | Word Sense Disambiguation using WSD specific Wordnet of Polysemy Words | 1,792 |
The rendering of Sanskrit poetry from text to speech is a problem that has not been solved before. One reason may be the complications in the language itself. We present unique algorithms based on extensive empirical analysis, to synthesize speech from a given text input of Sanskrit verses. Using a pre-recorded audio u... | An Algorithm Based on Empirical Methods, for Text-to-Tuneful-Speech
Synthesis of Sanskrit Verse | 1,793 |
Comprehensively searching for words in Sanskrit E-text is a non-trivial problem because words could change their forms in different contexts. One such context is sandhi or euphonic conjunctions, which cause a word to change owing to the presence of adjacent letters or words. The change wrought by these possible conjunc... | A Binary Schema and Computational Algorithms to Process Vowel-based
Euphonic Conjunctions for Word Searches | 1,794 |
Searching for words in Sanskrit E-text is a problem that is accompanied by complexities introduced by features of Sanskrit such as euphonic conjunctions or sandhis. A word could occur in an E-text in a transformed form owing to the operation of rules of sandhi. Simple word search would not yield these transformed forms... | Computational Algorithms Based on the Paninian System to Process
Euphonic Conjunctions for Word Searches | 1,795 |
Twitter with over 500 million users globally, generates over 100,000 tweets per minute . The 140 character limit per tweet, perhaps unintentionally, encourages users to use shorthand notations and to strip spellings to their bare minimum "syllables" or elisions e.g. "srsly". The analysis of twitter messages which typic... | Lexical Normalisation of Twitter Data | 1,796 |
A crowdsourcing translation approach is an effective tool for globalization of site content, but it is also an important source of parallel linguistic data. For the given site, processed with a crowdsourcing system, a sentence-aligned corpus can be fetched, which covers a very narrow domain of terminology and language ... | Using crowdsourcing system for creating site-specific statistical
machine translation engine | 1,797 |
In this paper, the performance of two dependency parsers, namely Stanford and Minipar, on biomedical texts has been reported. The performance of te parsers to assignm dependencies between two biomedical concepts that are already proved to be connected is not satisfying. Both Stanford and Minipar, being statistical pars... | Performance of Stanford and Minipar Parser on Biomedical Texts | 1,798 |
Contemporary research on computational processing of linguistic metaphors is divided into two main branches: metaphor recognition and metaphor interpretation. We take a different line of research and present an automated method for generating conceptual metaphors from linguistic data. Given the generated conceptual met... | Generating Conceptual Metaphors from Proposition Stores | 1,799 |
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