Articles

This paper proposes state-of-the-art mod- els for time-event relation extraction (TERE). The models are specifically de- signed to work effectively with relations that span multiple sentences and para- graphs, i.e., inter-sentence TERE. Our main idea is: (i) to build a computational representation of the context of the two target relation …...

We address the task of bootstrapping a se- mantic lexicon from a list of seed terms and a large corpus. By restricting to a small subset of semantically strong pat- terns, i.e., coordinations, we improve re- sults significantly. We show that the re- striction to coordinations has several ad- ditional …...

Unsupervised Relation Extraction (URE) methods automatically discover semantic relations in text corpora of unknown con- tent and extract for each discovered rela- tion a set of relation instances. Due to the sparsity of the feature space, URE is vulnerable to ambiguities and underspeci- fication in patterns. In this paper, we …...

This paper describes a new method, based on information theory, for measuring sen- tence similarity. The method first com- putes the information content (IC) of de- pendency triples using corpus statistics generated by processing the Open Amer- ican National Corpus (OANC) with the Stanford Parser. We define the similarity of …...

Recently, translation scholars have made some general claims about translation properties. Some of these are source lan- guage independent while others are not. Koppel and Ordan (2011) performed em- pirical studies to validate both types of properties using English source texts and other texts translated into English. Ob- viously, corpora …...

Many NLP tools are released as programs that include statistical models. Unfortu- nately, the models do not always match the documents that the tool user is inter- ested in, which forces the user to update the models. In this paper, we investigate model adap- tation under the condition that users …...

Previous research shows that Kalman fil- ter based human-computer interactive Chinese word segmentation achieves an encouraging effect in reducing user inter- ventions, but suffers from the drawback of incompetence in distinguishing seg- mentation ambiguities. This paper pro- poses a novel approach to handle this problem by using an adaptive Dirichlet …...

In this paper we introduce a feature-based neural language model, which is trained to estimate the probability of an element given its previous context features. In this way our feature-based language model can learn representation for more sophisticated features. We introduced the deep neural architecture into the Chinese Word Seg- …...

Named entities (NE) are important infor- mation carrying units within documents. Named Entity extraction (NEX) task con- sists of automatic construction of a list of phrases belonging to each NE of in- terest. NEX is important for domains which lack a corpus with tagged NEs. We present an enhanced version …...

Categorial Grammar Perspective Aleksandre Maskharashvili and Sylvain Pogodalla INRIA, 54600 Villers-l`es-Nancy, France LORIA, UMR 7503, 54506 Vandœuvre-l`es-Nancy, France Sylvain.Pogodalla@inria.fr Aleksandre.Mashkharashvili@inria.fr Abstract This paper gives an Abstract Categorial Grammar (ACG) account of (Kallmeyer and Kuhlmann, 2012)’s process of trans- formation of the derivation trees of Tree Adjoining Grammar (TAG) into depen- …...

Information Structure (IS) determines the “communicative” segmentation of the meaning of an utterance, which makes it central to the semantics–syntax– intonation interface and therefore also to NLP. Despite this relevance, IS has not received much attention in the context of the majority of the reference treebanks for data-driven NLP that …...

Bilingual corpora offer a promising bridge between resource-rich and resource-poor languages, enabling the development of natural language processing systems for the latter. English is often selected as the resource-rich language, but another choice might give better performance. In this pa- per, we consider the task of unsupervised cross-lingual POS tagging, …...

If we compare the widely used Condi- tional Random Fields (CRF) with newly proposed “deep architecture” sequence models (Collobert et al., 2011), there are two things changing: from linear archi- tecture to non-linear, and from discrete feature representation to distributional. It is unclear, however, what utility non- linearity offers in …...

In this paper we propose an approach to dynamically compute a confusion score for dependency arc labels, in typed depen- dency parsing framework. This score ac- companies the parsed output and aims to administer an informed account of parse correctness, detailed down to each edge of the parse. The methodology …...

In this paper, we propose a morphological dis- ambiguation method for Turkish, which is an agglutinative language. We use a hybrid meth- od, which combines statistical information with handcrafted rules and learned rules. Five different steps are applied for disambiguation. In the first step, the most likely tags of words …...

We show that an agent with fairly good social conversational abilities can be built based on a limited number of topics and dialogue strategies if it is tailored to its intended users through a high degree of user involvement during an iterative devel- opment process. The technology used is pattern …...

This paper presents a novel approach to categorize, model and identify contextual information in natural language interface to database (NLIDB) systems. The inter- actions between user and system are cat- egorized and modeled based on the way in which the contextual information is uti- lized in the interactions. A relationship …...

This paper describes the construction of a Japanese Input Method Editor (IME) sys- tem for mobile devices, using the large- scale Web pages. We provide the training process of our IME model, n-pos model for local Kana-Kanji conversion and n- gram model for online cloud service. Es- pecially, we propose …...

In this paper we present results for two tasks: social event detection and social network extraction from a literary text, Al- ice in Wonderland. For the first task, our system trained on a news corpus using tree kernels and support vector machines beats the baseline systems by a statisti- cally …...

Chinese Input Method Engine (IME) plays an important role in Chinese language pro- cessing. However, it has been subjected to lacking a proper evaluation metric for a long time. The natural metric for IME is user experience, which is a rather vague goal for research purpose. We propose a novel …...