Articles

This paper describes a feasibility study of n-gram-based evaluation metrics for automatic keyphrase extraction. To ac- count for near-misses currently ignored by standard evaluation metrics, we adapt various evaluation metrics developed for machine translation and summarization, and also the R-precision evaluation metric from keyphrase evaluation. In evaluation, the R-precision metric …...

While extensive studies on relation ex- traction have been conducted in the last decade, statistical systems based on su- pervised learning are still limited because they require large amounts of training data to achieve high performance. In this pa- per, we develop a cross-lingual annota- tion projection method that leverages …...

Context-based projection methods for identifying the translation of terms in comparable corpora has attracted a lot of attention in the community, e.g. (Fung, 1998; Rapp, 1999). Surprisingly, none of those works have systematically investi- gated the impact of the many parameters controlling their approach. The present study aims at doing …...

Sense annotation and lexicon building are costly affairs demanding prudent invest- ment of resources. Recent work on mul- tilingual WSD has shown that it is possi- ble to leverage the annotation work done for WSD of one language (SL) for another (TL), by projecting Wordnet and sense marked corpus parameters …...

In this paper we consider the problem of building a system to predict readability of natural-language documents. Our sys- tem is trained using diverse features based on syntax and language models which are generally indicative of readability. The experimental results on a dataset of docu- ments from a mix of …...

This paper presents a first efficient imple- mentation of a weighted deductive CYK parser for Probabilistic Linear Context- Free Rewriting Systems (PLCFRS), to- gether with context-summary estimates for parse items used to speed up pars- ing. LCFRS, an extension of CFG, can de- scribe discontinuities both in constituency and dependency …...

In this paper we propose a completely un- supervised method for open-domain en- tity extraction and clustering over query logs. The underlying hypothesis is that classes defined by mining search user activ- ity may significantly differ from those typ- ically considered over web documents, in that they better model the …...

We describe the implementation of reranking models for fine-grained opinion analysis – marking up opinion expres- sions and extracting opinion holders. The toreranking approach makes it possible model complex relations between multiple opinions in a sentence, allowing us to represent how opinions interact through the syntactic and semantic structure. We …...

Fact collections are mostly built using semi-supervised relation extraction tech- niques and wisdom of the crowds meth- ods, rendering them inherently noisy. In this paper, we propose to validate the re- sulting facts by leveraging global con- straints inherent in large fact collections, observing that correct facts will tend to …...

Cross Document Coreference (CDC) is the task of constructing the coreference chain for mentions of a person across a set of documents. This work offers a holistic view of using document-level categories, sub-document level context and extracted entities and relations for the CDC task. We train a categorization component with …...

This paper proposes a new approach to phrase rescoring for statistical machine translation (SMT). A set of novel fea- tures capturing the translingual equiva- lence between a source and a target phrase pair are introduced. These features are combined with linear regression model and neural network to predict the quality …...

This paper 1 presents an empirical ap- proach to mining parallel corpora. Con- ventional approaches use a readily available collection of comparable, non- parallel corpora to extract parallel sen- tences. This paper attempts the much more challenging task of directly search- ing for high-quality sentence pairs from the Web. We …...

We propose and implement a modifica- tion of the Eisner (1996) normal form to account for generalized composition of bounded degree, and an extension to deal with grammatical type-raising. 1...

Adaptor grammars are a framework for expressing and performing inference over a variety of non-parametric linguistic models. These models currently provide state-of-the-art performance on unsuper- vised word segmentation from phonemic representations of child-directed unseg- mented English utterances. This paper in- vestigates the applicability of these mod- els to unsupervised word …...

Phrase reordering is of great importance for statistical machine translation. Ac- cording to the movement of phrase trans- lation, the pattern of phrase reordering can be divided into three classes: mono- tone, BTG (Bracket Transduction Grammar) and hierarchy. It is a good way to use different styles of reordering models …...

It has been recognized for quite some time that sustainable data formats play an important role in the development and curation of linguistic resources. The purpose of this paper is to show how GermaNet, the German version of the Princeton WordNet, can be con- verted to the Lexical Markup Frame- …...

Hierarchical phrase-based machine trans- lation can capture global reordering with synchronous context-free grammar, but has little ability to evaluate the correctness of word orderings during decoding. We propose a method to integrate word-based reordering model into hierarchical phrase- based machine translation to overcome this weakness. Our approach extends the synchronous …...

We present an approach to model hid- den attributes in the compositional se- mantics of adjective-noun phrases in a distributional model. For the represen- tation of adjective meanings, we refor- mulate the pattern-based approach for at- tribute learning of Almuhareb (2006) in a structured vector space model (VSM). This model …...

Plagiarism is the use of the language and thoughts of another work and the repre- sentation of them as one's own original work. Various levels of plagiarism exist in many domains in general and in aca- demic papers in particular. Therefore, di- verse efforts are taken to automatically identify plagiarism. …...

Given a movie comment, does it contain a spoiler? A spoiler is a comment that, when disclosed, would ruin a surprise or reveal an important plot detail. We study automatic methods to detect comments and reviews that contain spoilers and ap- ply them to reviews from the IMDB (Inter- net …...