Articles

In this paper we cover the problem of recognition of semantic relations between proper names (PNs) in running text. We focus on the manual rule creation ap- proach and discuss to what extent the ex- isting tools can be used for this task. As a result of our initial research …...

Information extraction systems automati- cally extract structured information from machine-readable documents, such as newswire, web, and multimedia. Despite significant improvement, the performance is far from perfect. Hence, it is useful to accurately estimate confidence in the cor- rectness of the extracted information. Us- ing the Knowledge Base Population Slot Filling …...

The Unit Graphs (UGs) framework is a graph-based knowledge representation (KR) formalism that is designed to al- low for the representation, manipula- tion, query, and reasoning over linguis- tic knowledge of the Explanatory Com- binatorial Dictionary of the Meaning-Text Theory (MTT). This paper introduces the UGs framework, and overviews current …...

We are interested in a graph-based Knowl- edge Representation formalism that would allow for the representation, manipula- tion, query, and reasoning over depen- dency structures, and linguistic knowl- edge of the Explanatory and Combinato- rial Dictionary in the Meaning-Text The- ory framework. Neither the semantic web formalisms nor the conceptual …...

We present an incremental dependency parser which derives predictions about the upcoming structure in a parse-as-you- type mode. Drawing on the inherent strong anytime property of the underlying transformation-based approach, an exist- ing system, jwcdg, has been modified to make it truly interruptible. A speed-up was achieved by means of …...

We improve upon a previous line of work for parsing web data, by exploring the im- pact of different decisions regarding the training data. First, we compare train- ing on automatically POS-tagged data vs. gold POS data. Secondly, we compare the effect of training and testing within sub-genres, i.e., whether …...

We describe an approach to building a morphological analyser of Arabic by inducing a lexicon of root and pattern templates from an unannotated corpus. Using maximum entropy modelling, we capture orthographic features from surface words, and cluster the words based on the similarity of their possible roots or patterns. From …...

The paper1 presents a rule-based approach to semantic relation recognition within the Polish noun phrase. A set of semantic re- lations, including some thematic relations, has been determined for the need of ex- periments. The method consists in two steps: first the system recognizes word pairs and triples, and then …...

This paper presents a method of lexical se- mantic disambiguation in multilingual corpora and describes the construction of an artifi- cial word-aligned and lexically disambiguated gold-standard corpus from an existing mul- tilingual resource. The suggested approach uses sets of aligned words and phrases across languages as unique semantic tags similar …...

Research in text classification currently fo- cuses on challenging tasks such as sen- timent classification, modality identifica- tion, and so on. In these tasks, approaches that use a structural representation, like a tree, have shown better performance rather than a bag-of-words representation. In this paper, we propose a boosting algorithm …...

In this paper we present the functional au- tomata as a general framework for repre- sentation, training and exploring of vari- ous statistical models as LLM’s, HMM’s, CRF’s, etc. Our contribution is a new construction that allows the representation of the derivatives of a function given by a functional au- …...

Opinion analysis deals with public opin- ions and trends, but subjective language is highly ambiguous. In this paper, we follow a simple data-driven technique to learn fine-grained opinions. We select an intersection set of Wall Street Jour- nal documents that is included both in the Penn Discourse Tree Bank (PDTB) …...

(2)This paper reports on an application that delivers automated formative feed- back designed to help university students improve their assignments. (3)The aim of the system is to improve the confidence and skills of the user by promoting self- directed learning through metacognition. (4)The system focuses on the content of an …...

Thread disentanglement is the task of sep- arating out conversations whose thread structure is implicit, distorted, or lost. In this paper, we perform email thread dis- entanglement through pairwise classifica- tion, using text similarity measures on non-quoted texts in emails. We show that i) content text similarity metrics out- perform …...

Most empirically-based approaches to NL generation elaborate on co-occur- rences and frequencies observed over a corpus, which are then accommodated by learning algorithms. This method fails to capture generalities in generation subtasks, such as generating referring expressions, so that results obtained for some corpus cannot be transferred with confidence to …...

This paper introduces the first pattern-based Persian Temporal Relation Classifier (PTRC) that finds the type of temporal relations between pairs of events in the Persian texts. The proposed system uses support vector machines (SVMs) equipped by combinations of simple, convolution tree, and string subsequence kernels (SSK). In order to evaluate …...

This paper presents a new automated method for evaluating the content of a text summary. The proposed method is based on a combination of features encompassing scores of content and others of linguistic quality. This method relies on a learning technique called linear regression. The objective of this combination is …...

A table-of-contents (TOC) provides a quick reference to a document’s content and structure. We present the first study on identifying the hierarchical structure for automatically generating a TOC us- ing only textual features instead of struc- tural hints e.g. from HTML-tags. We cre- ate two new datasets to evaluate our …...

The problem of answering multi-sentence questions is addressed in a number of products and services-related domains. A candidate set of answers, obtained by a keyword search, is re-ranked by matching the set of parse trees of an answer with that of the question. To do that, a graph representation and …...

We propose new automatic evaluation metric to evaluate machine translation. Different from most similar metrics, our proposed metric does not depend heavily on sentence length. In most metrics based on f-measure compar- isons of reference and candidate trans- lations, the relative weight of each mis- matched word in short sentences …...