def _eval_one(self, gold_inst: Sent, pred_inst: Sent):
conf: DparEvalConf = self.conf
# assert gold_inst.id == pred_inst.id, "Err: SentID mismatch!"
# assert gold_inst.seq_word.vals == pred_inst.seq_word.vals, "Err: sent text mismatch!"
# --
gold_tokens = gold_inst.get_tokens()
pred_tokens = pred_inst.get_tokens()
assert len(gold_tokens) == len(pred_tokens)
if conf.exclude_punct:
res = DparEvalResult(conf, [
(a, b)
for a, b in zip(gold_tokens, pred_tokens) if a.upos != "PUNCT"
])
else:
res = DparEvalResult(conf,
[(a, b)
for a, b in zip(gold_tokens, pred_tokens)])
return res
def span2feat(self, sent: Sent, widx: int,
wlen: int): # from a span to feat
# def span2feat(self, sent: Sent, widx: int, wlen: int, try_head=True): # from a span to feat
conf: LexConstrainerConf = self.conf
hwidx = self.hf.find_shead(sent, widx, wlen) # try to find head word
if conf.use_fn_style:
hpos = sent.seq_upos.vals[hwidx]
lu_name = " ".join(sent.seq_lemma.vals[widx:widx+wlen]).lower() + "." \
+ UD2FN_POS_MAP.get(hpos, hpos.lower())
feat = self.lu2feat(lu_name)
else:
tokens = sent.get_tokens(widx, widx + wlen)
feat = " ".join([self.lex_feat_f(t)
for t in tokens]) # my own feat!
# special try_head if not found
# if try_head and wlen>0 and feat not in self.cmap:
# return self.span2feat(sent, hwidx, 1, False)
return feat
def feat_toks(self, s: Sent):
sent_toks = s.get_tokens()
sent_tok_feats = [self.feat_tok_f(t) for t in sent_toks]
return sent_toks, sent_tok_feats