finished WSD Method 2 + experiments

WSD/embeddings/wsd_node_emb.py

@@ -27,8 +27,11 @@ if __name__ == '__main__':
 
 	wsd_node_embeddings = []
 
-	for x, y, z in zip(lemma_emb, gloss_emb, pos_emb):
-		wsd_node_embeddings.append(np.concatenate((x, y, z)))
+	#for x, y, z in zip(lemma_emb, gloss_emb, pos_emb):
+	#	wsd_node_embeddings.append(np.concatenate((x, y, z)))
+
+	for x, y in zip(lemma_emb, gloss_emb):
+		wsd_node_embeddings.append(np.concatenate((x, y)))
 
 	wsd_node_embeddings = np.array(wsd_node_embeddings)
 

WSD/method1_experiments/generate_exp_emb.py

@@ -48,7 +48,7 @@ def concatenate_embeddings(emb_list, name_list):
 
 if __name__ == '__main__':
 
-	gloss_emb = load_pickle('node_embeddings_glossdummy')
+	gloss_emb = load_pickle('node_embeddings_gloss')
 	lemma_emb = load_pickle('node_embeddings_lemma')
 	lexfile_emb = load_pickle('node_embeddings_lex_file')
 	pos_emb = load_pickle('node_embeddings_pos')
@@ -57,4 +57,4 @@ if __name__ == '__main__':
 	embs = [gloss_emb, lemma_emb, lexfile_emb, pos_emb, id_emb]
 	names = ['gloss', 'lemma', 'lexfile', 'pos', 'id']
 
-	concatenate_embeddings(embs, names)
+	concatenate_embeddings(embs, names)
\ No newline at end of file

WSD/wsd2_exp.py

@@ -133,15 +133,15 @@ def run_experiment(window_size, document, output_file, mfs=False):
 
 if __name__ == '__main__':
 
-	windows = [5]
-	output_file = "method2_experiments/output_senseval3_context_"
-	'''
+	windows = [5,10,15,20,25]
+	output_file = "method2_experiments/output_senseval3_nopost_"
+
 	for win in windows:
 		for i in senseval_3:
 			run_experiment(win, i, output_file)
-	'''
 
-	output_file = "method2_experiments/output_senseval2_mfs"
+
+	output_file = "method2_experiments/output_senseval2_nopos_"
 	for win in windows:
 		for i in senseval_2:
 			run_experiment(win, i, output_file, mfs=True)

WSD/wsd_method2.py

@@ -111,8 +111,11 @@ class WSD:
 			return no_context
 
 		# embed head POS-tag as POS
+
 		pos = self.pos_mapping[head[wn_tag]]
 		pos_repr = self.pos_embedding[pos]
+
+
 		# concatenate the above for a node representation of the contextS
 		node_repr = np.concatenate((lemma_repr, gloss_repr, pos_repr))
 
@@ -121,7 +124,7 @@ class WSD:
 		for sense_id in EP_synset_ids:
 			ep_node = self.node_embeddings[sense_id]
 			distances.append(np.linalg.norm(ep_node - node_repr))
-		# return synset_id with nearest
+		# return synset_id that is nearest to node representation
 		nearest_sense = EP_synset_ids[distances.index(min(distances))]
 		wn_nearest = self.reverse_id_mapping[nearest_sense][::-1]
 		pred_pos = wn_nearest[0]