Articles

Surface realisers in spoken dialogue sys- tems need to be more responsive than con- ventional surface realisers. They need to be sensitive to the utterance context as well as robust to partial or changing generator inputs. We formulate surface realisation as a sequence labelling task and combine the use of …...

ion through event pattern clustering Enrique Alfonseca Google Inc. ealfonseca@google.com Daniele Pighin Google Inc. biondo@google.com Guillermo Garrido∗ NLP & IR Group at UNED ggarrido@lsi.uned.es Abstract This paper presents HEADY: a novel, ab- stractive approach for headline generation from news collections. From a web-scale corpus of English news, we mine syntac- …...

ive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain Jackie Chi Kit Cheung University of Toronto 10 King’s College Rd., Room 3302 Toronto, ON, Canada M5S 3G4 jcheung@cs.toronto.edu Gerald Penn University of Toronto 10 King’s College Rd., Room 3302 Toronto, ON, Canada M5S 3G4 gpenn@cs.toronto.edu Abstract In automatic summarization, …...

We present SPred, a novel method for the creation of large repositories of semantic predicates. We start from existing colloca- tions to form lexical predicates (e.g., break ∗) and learn the semantic classes that best fit the ∗ argument. To do this, we extract all the occurrences in Wikipedia which …...

We report on the construction of the Webis text reuse corpus 2012 for advanced re- search on text reuse. The corpus compiles manually written documents obtained from a completely controlled, yet representative environment that emulates the web. Each of the 297 documents in the corpus is about one of the …...

Preordering of a source language sentence to match target word order has proved to be useful for improving machine transla- tion systems. Previous work has shown that a reordering model can be learned from high quality manual word alignments to improve machine translation perfor- mance. In this paper, we focus …...

Derivational models are still an under- researched area in computational morphol- ogy. Even for German, a rather resource- rich language, there is a lack of large- coverage derivational knowledge. This pa- per describes a rule-based framework for inducing derivational families (i.e., clus- ters of lemmas in derivational relation- ships) and …...

Long distance reordering remains one of the greatest challenges in statistical ma- chine translation research as the key con- textual information may well be beyond the confine of translation units. In this paper, we propose Two-Neighbor Orien- tation (TNO) model that jointly models the orientation decisions between anchors and two …...

This paper presents a novel deterministic algorithm for implicit Semantic Role La- beling. The system exploits a very sim- ple but relevant discursive property, the ar- gument coherence over different instances of a predicate. The algorithm solves the implicit arguments sequentially, exploit- ing not only explicit but also the implicit …...

This paper presents an unsupervised ran- dom walk approach to alleviate data spar- sity for selectional preferences. Based on the measure of preferences between predi- cates and arguments, the model aggregates all the transitions from a given predicate to its nearby predicates, and propagates their argument preferences as the given …...

Text normalization is an important first step towards enabling many Natural Lan- guage Processing (NLP) tasks over infor- mal text. While many of these tasks, such as parsing, perform the best over fully grammatically correct text, most existing text normalization approaches narrowly define the task in the word-to-word sense; that …...

We describe a new representation of the content vocabulary of a text we call word association profile that captures the pro- portions of highly associated, mildly asso- ciated, unassociated, and dis-associated pairs of words that co-exist in the given text. We illustrate the shape of the dis- tirbution and observe …...

Mother tongue interference is the phe- nomenon where linguistic systems of a mother tongue are transferred to another language. Although there has been plenty of work on mother tongue interference, very little is known about how strongly it is transferred to another language and about what relation there is across …...

Predicate-argument structure (PAS) has been demonstrated to be very effective in improving SMT performance. However, since a source- side PAS might correspond to multiple differ- ent target-side PASs, there usually exist many PAS ambiguities during translation. In this pa- per, we group PAS ambiguities into two types: role ambiguity and …...

Out-of-vocabulary (oov) words or phrases still remain a challenge in statistical machine translation especially when a limited amount of parallel text is available for training or when there is a domain shift from training data to test data. In this paper, we propose a novel approach to finding translations for …...

Recent advances in large-margin learning have shown that better generalization can be achieved by incorporating higher order information into the optimization, such as the spread of the data. However, these so- lutions are impractical in complex struc- tured prediction problems such as statis- tical machine translation. We present an online …...

We describe a new probabilistic model for extracting events between major polit- ical actors from news corpora. Our un- supervised model brings together famil- iar components in natural language pro- cessing (like parsers and topic models) with contextual political information— temporal and dyad dependence—to in- fer latent event classes. We …...

In some societies, internet users have to create information morphs (e.g. “Peace West King” to refer to “Bo Xilai”) to avoid active censorship or achieve other com- munication goals. In this paper we aim to solve a new problem of resolving en- tity morphs to their real targets. We ex- …...

This paper describes a novel strategy for automatic induction of a monolingual de- pendency grammar under the guidance of bilingually-projected dependency. By moderately leveraging the dependency in- formation projected from the parsed coun- terpart language, and simultaneously min- ing the underlying syntactic structure of the language considered, it effectively in- …...

Translated bi-texts contain complemen- tary language cues, and previous work on Named Entity Recognition (NER) has demonstrated improvements in perfor- mance over monolingual taggers by pro- moting agreement of tagging decisions be- tween the two languages. However, most previous approaches to bilingual tagging assume word alignments are given as fixed …...