International audienceThis article evaluates the integration of data extracted from a French syntactic lexicon, the Lexicon-Grammar (Gross, 1994), into a probabilistic parser. We show that by applying clustering methods on verbs of the French Treebank (Abeill'e et al., 2003), we obtain accurate performances on French with a parser based on a Probabilistic Context-Free Grammar (Petrov et al., 2006) and a discriminative parser based on a reranking algorithm (Charniak and Johnson, 2005)
International audienceThis paper investigates the impact on French dependency parsing of lexical gen...
We evaluate statistical parsing of French using two probabilistic models derived from the Tree Adjoi...
Natural Language is highly ambiguous, on every level. This article describes a fast broad-coverage s...
International audienceThis article evaluates the integration of data extracted from a French syntact...
posterInternational audienceThis article introduces results about probabilistic parsing enhanced wit...
posterInternational audienceThis article introduces results about probabilistic parsing enhanced wit...
We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from t...
ISBN : 978-2-7453-2512-9International audienceThis article reports the evaluation of the integration...
International audienceThis paper investigates the impact on French dependency parsing of lexical gen...
We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from t...
We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from t...
International audienceThis paper investigates the impact on French dependency parsing of lexical gen...
We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from t...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
International audienceThe robustness of probabilistic parsing generally comes at the expense of gram...
International audienceThis paper investigates the impact on French dependency parsing of lexical gen...
We evaluate statistical parsing of French using two probabilistic models derived from the Tree Adjoi...
Natural Language is highly ambiguous, on every level. This article describes a fast broad-coverage s...
International audienceThis article evaluates the integration of data extracted from a French syntact...
posterInternational audienceThis article introduces results about probabilistic parsing enhanced wit...
posterInternational audienceThis article introduces results about probabilistic parsing enhanced wit...
We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from t...
ISBN : 978-2-7453-2512-9International audienceThis article reports the evaluation of the integration...
International audienceThis paper investigates the impact on French dependency parsing of lexical gen...
We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from t...
We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from t...
International audienceThis paper investigates the impact on French dependency parsing of lexical gen...
We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from t...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
International audienceThe robustness of probabilistic parsing generally comes at the expense of gram...
International audienceThis paper investigates the impact on French dependency parsing of lexical gen...
We evaluate statistical parsing of French using two probabilistic models derived from the Tree Adjoi...
Natural Language is highly ambiguous, on every level. This article describes a fast broad-coverage s...