By Johan Bos (auth.), Bengt Nordström, Aarne Ranta (eds.)
This e-book constitutes the refereed complaints of the sixth foreign convention on ordinary Language Processing, GoTAL 2008, Gothenburg, Sweden, August 2008.
The forty four revised complete papers awarded including three invited talks have been rigorously reviewed and chosen from 107 submissions. The papers deal with all present concerns in computational linguistics and monolingual and multilingual clever language processing - idea, equipment and applications.
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Extra resources for Advances in Natural Language Processing: 6th International Conference, GoTAL 2008 Gothenburg, Sweden, August 25-27, 2008 Proceedings
The Swap transition swaps the mth and m+1th words in σ and increments the index to m+1 (the position of the word in mth position before the swap). 2. The Shift transition takes the next word from β, inserts it at the head of σ and sets the index m to 0 (the position of the newly inserted word). Note that we use the notation [σ|wi , wj |σm ] to refer to a list (with its head to the right) with a preﬁx of m words, followed by the words wi and wj and a tail σ of unspeciﬁed length. Assume now that we have an oracle o, which maps each conﬁguration to the correct transition (Swap or Shift) in order to sort the words of a sentence into their projective order.
Sentence level work by  ﬁnds productive synonyms and antonyms of an opinion bearing word through automatic expansion in Wordnet and uses them as feature sets of a classiﬁer. Our work diﬀers from previous works in these aspects: (1) Our focus is on classifying each sentence in a review as positive, negative or neutral. (2) We emphasize on sentence structure and conjunction analysis to locate dominating phrases in a sentence. (3) Our approach is supervised in nature and we verify our results using support vector machines on movie, car and book reviews.
Nivre Transition Condition Swap (m, [σ|wi , wj |σm ], β) ⇒ (m+1, [σ|wj , wi |σm ], β) Shift (m, σ, [wi |β]) ⇒ (0, [σ|wi ], β) i=0 Fig. 5. Transitions for sorting into projective order arithmetic order < on VS induced by the original word order. The basic idea behind the notion of a projective order is to ﬁnd a way to impose a linear order on the nodes of the dependency graph in such a way that we guarantee that every subtree has a continuous yield. This can be done in a variety of ways, but because we want to preserve as much as possible of the original word order, we choose an ordering that respects the original ordering of words corresponding to nodes that stand in a parent-child or sibling relation.