id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_4mhuno2zhbhupdwgmqajqhbcye	Manaal Faruqui	Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning	2016	16	.pdf	application/pdf	9574	1075	69	words to automatically construct wide coverage lexicons from small seed sets. model the problem of morpho-syntactic lexicon generation as a graph-based semi-supervised learning Our entire framework of lexicon generation, including the label propagation algorithm and the feature extraction module is language independent. Koo et al., 2008; Turian et al., 2010), but a surface morphological transformation feature like suffix:ed:ing possibly indicates a change in the tense their aw's (obtained from seed lexicon)5 and the unlabeled words U whose attributes are unknown. predicts morphological attributes for words, we provide an intrinsic evaluation where we compare predicted attributes to gold lexicons that have been either read off from a treebank or derived manually. For every language, we create a graph with the features described in §2 with words in the seed lexicon showed that the lexicons thus constructed help improve performance in morphological tagging and dependency parsing, when used as features.	./cache/work_4mhuno2zhbhupdwgmqajqhbcye.pdf	./txt/work_4mhuno2zhbhupdwgmqajqhbcye.txt